data ai engineer 90408785 washington

Amtrak

<div>Your success is a train ride away!
As we move America&rsquo;s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. 
Are you ready to join our team?
Our values of &lsquo;Do the Right Thing, Excel Together and Put Customers First&rsquo; are at the heart of what matters most to us, and our Core Capabilities, &lsquo;Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety &amp; Security&rsquo; are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.<div><div><div><h2 class="jobSectionHeader"> 
Job Summary</h2></div><div>
The Data &amp; AI Engineer Specialist plays a key role in delivering Amtrak&rsquo;s enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role independently designs, builds, and maintains data and AI systems that make data discoverable, reliable, and actionable across the organization.
As a core member of the Digital Technology team, the Data &amp; AI Engineer transforms data requirements into scalable pipelines and services, ensures the integrity and quality of data products, and contributes to the continuous improvement of Amtrak&rsquo;s data and AI ecosystem. This position partners closely with platform, governance, and analytics teams to deliver trusted, production-ready data and insights.</div></div><div><div><h2 class="jobSectionHeader">
Essential Functions</h2></div><div><ul><li>Design, develop, and maintain data pipelines, AI frameworks and integration workflows supporting analytics and AI applications.</li><li>Implement data transformation, validation, and quality controls to ensure reliability and compliance with standards.</li><li>Collaborate with architects, analysts, and data scientists to operationalize data models and business logic.</li><li>Participate in agile planning, sprint delivery, and retrospectives to continuously improve team performance.</li><li>Document technical specifications, lineage, and best practices for data assets and workflows.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.</li><li>Experience: 2&ndash;4 years of hands-on experience in data engineering, integration, or software development.</li><li>Licenses/Certifications: None required.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications</h2></div><div><ul><li> Experience with data lakehouse or cloud data platforms.</li><li>Familiarity with metadata management, lineage, and observability practices.</li><li>Exposure to AI/ML pipeline development, automation frameworks, or MLOps concepts.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Knowledge, Skills, and Abilities</h2></div><div><ul><li>Proficiency in Python and SQL with strong foundations in data and AI architecture, including feature pipelines, model serving, and inference patterns.</li><li>Understanding of ETL/ELT concepts, APIs, and data pipeline orchestration.</li><li>Strong experience building federated data and feature models; performance tuning for analytics and AI workloads; designing reusable views and features; implementing caching, row-level security, and data contracts.</li><li>Experience working within cloud or hybrid data environments.</li><li>Strong analytical, debugging, and problem-solving skills.</li><li>Demonstrated ability to work independently and deliver high-quality results within an agile framework.</li><li>Effective collaboration and communication skills across technical and business stakeholders.</li></ul></div></div></div>
The salary/hourly range is $72,000.00 &ndash; $93,312.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee&rsquo;s assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee&rsquo;s base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here. 
Requisition ID:166349
Work Arrangement:06-Onsite 4/5 Days Click here for more information about work arrangements at Amtrak.
 
Relocation Offered:No
 
Travel Requirements:Up to 25%
You power our progress through your performance.
We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. 
Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.
Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. 
In accordance with DOT regulations (49 CFR &sect; 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. 
In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. &sect;1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. 
Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. 
Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.</div>

Data & AI Engineer - 90408785 - Washington

<div>Your success is a train ride away!
As we move America&rsquo;s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. 
Are you ready to join our team?
Our values of &lsquo;Do the Right Thing, Excel Together and Put Customers First&rsquo; are at the heart of what matters most to us, and our Core Capabilities, &lsquo;Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety &amp; Security&rsquo; are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. 
Job Summary:
The Data &amp; AI Lead Engineer serves as a hands-on technical leader responsible for designing, implementing, and overseeing the delivery of enterprise data and AI solutions that power Amtrak&rsquo;s digital transformation. This role combines deep technical expertise with project leadership, ensuring that data systems and AI capabilities are built to be scalable, reliable, secure, and aligned with governance standards. Leads operate across multiple product or platform teams, guiding design decisions, mentoring engineers, and managing the execution of complex initiatives. They balance delivery and innovation driving improvements in platform efficiency, engineering maturity, and the overall quality of Amtrak&rsquo;s data and AI ecosystem.<div> 
Essential Functions: 
<ul><li>Lead the design, development, and deployment of enterprise-scale data and AI solutions from concept through production.</li><li>Provide hands-on technical guidance in coding, pipeline development, model deployment, and integration patterns.</li><li>Plan and coordinate engineering deliverables, ensuring adherence to technical standards, governance, and security policies.</li><li>Mentor junior and mid-level engineers, fostering skill development, collaboration, and engineering excellence.</li><li>Partner with architects, product owners, and governance leads to align solutions with Amtrak&rsquo;s enterprise data strategy and roadmap.</li></ul></div><div> 
Minimum Qualifications: 
<ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field; equivalent professional experience may be accepted.</li><li>Experience: 6&ndash;8 years of experience in data engineering, AI systems development, or related technical roles with increasing leadership responsibility.</li><li>Licenses/Certifications: None required.</li></ul></div><div> 
Preferred Qualifications: 
<ul><li>Experience in a leadership capacity within a scaled agile environment or data platform modernization initiative.</li><li>Familiarity with enterprise data governance, metadata management, and security standards.</li><li>Exposure to MLOps, cloud data platforms, and automation tools that accelerate delivery.</li><li>Prior mentorship or technical leadership of multi-functional project teams.</li></ul></div><div> 
Required Knowledge, Skills and Abilities: 
<ul><li>Advanced proficiency in SQL, programming languages (e.g., Python, Scala, or Java), and data architecture design.</li><li>Proven experience leading the delivery of complex data pipelines, integrations, or AI solutions.</li><li>Strong understanding of data quality, observability, and performance optimization.</li><li>Demonstrated ability to lead teams through technical challenges while remaining hands-on in design and coding.</li><li>Experience working within agile product teams, coordinating across multiple stakeholders.</li><li>Excellent communication, collaboration, and problem-solving abilities.</li></ul></div>
The salary/hourly range is $103,700.00 &ndash; $134,460.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee&rsquo;s assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee&rsquo;s base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here. 
Requisition ID:166244
Work Arrangement:06-Onsite 4/5 Days Click here for more information about work arrangements at Amtrak.
 
Relocation Offered:No
 
Travel Requirements:Up to 25%
You power our progress through your performance.
We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. 
Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.
Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. 
In accordance with DOT regulations (49 CFR &sect; 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. 
In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. &sect;1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. 
Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. 
Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.</div>

Data & AI Lead Engineer - 90407740 - Washington

Resonate

<div>
 Resonate is a leading provider of high-quality, AI-powered consumer data, intelligence, and technology, empowering marketers to create a more personalized world that increases customer acquisition and lifetime value. Our SaaS platform, Ignite, and our Data-as-a-Service (DaaS) offerings provide unparalleled insights into consumer motivations, values, and behaviors, enabling our clients to connect with their target audiences in more meaningful and effective ways. We are a dynamic and fast-growing company seeking passionate and innovative individuals to join our team!
 
 
 As a Data Engineer on the big data team, you will design, build, and maintain critical data pipelines that power the Resonate business. You will collaborate with senior engineers and product management to deliver scalable data solutions. You will be a member of a high-quality, dedicated and friendly team passionate about delivering quality products, solving hard problems, and transforming the data with AI.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate in the design, planning and development of products and initiatives to deliver on product requests for the data engineering squad
 </li>
 <li>
 Design, develop, and maintain ETL/ELT pipelines using Spark and Scala on AWS EMR
 </li>
 <li>
 Build and optimize data workflows processing terabyte-scale datasets in S3 and Snowflake
 </li>
 <li>
 Monitor pipeline health using Grafana dashboards and resolve data quality issues
 </li>
 <li>
 Write clean, testable code with comprehensive unit and integration tests
 </li>
 <li>
 Participate in code reviews, technical design discussions, and sprint planning
 </li>
 <li>
 Support production operations including on-call rotation and incident response
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience Requirements
 
 
 
 <ul>
 <li>
 5+ years professional experience in software engineering, data engineering, or a related field
 </li>
 <li>
 3+ years of experience in Spark/Scala DataFrame/Dataset APIs
 </li>
 <li>
 Prior experience with debugging and problem solving in Big data ecosystem
 </li>
 <li>
 Proven experience in tuning multi-terabyte / petabyte scale Spark Applications
 </li>
 <li>
 Prior relational database experience is required
 </li>
 <li>
 Deep knowledge of software architecture and engineering standard methodologies, especially modern cloud computing stacks for processing Big Data.
 </li>
 <li>
 Experience with AWS (EMR, S3, Lambda), Spark, Scala, Kafka, Snowflake, Grafana, Hadoop, Elastic Stack, Docker for containers, etc.
 </li>
 <li>
 Strong understanding of the different parts of the software development lifecycle, from exploration and design to delivery to production
 </li>
 <li>
 Good understanding of principles of solution architecture, technical design, data structures, and data modeling
 </li>
 <li>
 Enthusiasm/experience leveraging generative AI tools to accelerate data engineering work - including pipeline development, system monitoring, and improving developer productivity
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in using probabilistic data structures
 </li>
 <li>
 Demonstrated success in implementing scaled high cardinality data system
 
 
 </li>
 </ul>
 
 Education Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, or equivalent
 
 
 </li>
 </ul>
 
 Resonate Attributes
 
 
 
 At Resonate, we care about more than your experience on paper. We look for teammates who bring the right mindset and ways of working to help us do great work, together. The Resonators who thrive here embody these qualities:
 
 
 <ul>
 <li>
 Proactive Problem-Solving: You spot challenges early and take initiative to solve them.
 </li>
 <li>
 Ownership: You take initiative, follow through, and hold yourself accountable.
 </li>
 <li>
 Collaboration: You value working with others and building strong, respectful relationships.
 </li>
 <li>
 Adaptability: You stay steady through change and adjust when needed.
 </li>
 <li>
 Growth Mindset: You're open to learning, feedback, and trying new things.
 </li>
 <li>
 Customer Focus: You keep the end user in mind and aim for impact.
 </li>
 <li>
 Clear Communication: You express ideas simply and listen to understand.
 </li>
 <li>
 Integrity &amp; Empathy: You act with honesty and consider the people around you.
 </li>
 <li>
 Strategic Thinking: You focus on what matters most and work with purpose.
 </li>
 <li>
 Drive: You show up motivated and ready to move things forward.
 </li>
 <li>
 Readiness: You bring the skills to contribute meaningfully from day one.
 
 
 </li>
 </ul>
 These attributes are the foundation of how we work and grow together!
 
 
 
 Benefits
 
 
 
 Besides the opportunity to work alongside smart, fun, and hard-working colleagues at Resonate, you'll also enjoy uncapped growth potential, the chance to have a meaningful impact on the company, and the opportunity to work on cutting-edge, AI-powered marketing data and identity solutions that are forever changing the industry. From a competitive 401(k) match to an Open PTO policy that encourages real time off, we're committed to creating an environment where our team members can thrive both inside and outside of work. Our comprehensive benefits package is designed to meet the diverse needs of our employees and their families. A full list of benefits is shared with candidates following their initial conversation with our HR team, so you'll have a clear understanding of the support and resources available to you as part of the Resonate team.
 
 
 
 Location
 
 
 
 At Resonate, we take a remote-first approach to work, offering a flexible environment that empowers our team to collaborate seamlessly across different locations. While we embrace remote work, we also encourage thoughtful and intentional in-person collaboration to foster connection and teamwork when needed. Whether you're working from home or joining us in one of our state-of-the-art offices, you'll have the tools and resources you need to succeed.
 
 
 Resonate is headquartered in Reston, VA, with offices in New York City and Washington, D.C.
 
 
 
 Our EEO Statement:
 
 
 
 
 Resonate is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outline by federal, state, or local laws.
 
 
 
 Find out more about our story at
 
 www.resonate.com
 
 .
</div>

Data Engineer

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 IdeaCrew
 
 to connect them with exceptional professionals for this role.
 
 
 
 Junior Data Engineer
 
 
 Job Type: Full-Time
 
 
 Salary: $100,000 to $120,000 / year
 
 
 Full-Time
 
 
 <ul>
 <li>
 Washington, DC / Remote
 
 
 </li>
 </ul>
 IdeaCrew is currently seeking junior Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.
 
 
 As a member of our Analytics team, you will work with a modern data stack, build scalable data pipelines with python, and support external and internal reporting needs.
 
 
 A Junior Data Engineer for IdeaCrew will
 
 
 <ul>
 <li>
 Build and scale data pipelines in production environments using a modern data stack.
 </li>
 <li>
 Carry out complex analysis utilizing PostgresSQL.
 </li>
 <li>
 Implement data modeling best practices to support analytics and reporting needs.
 </li>
 <li>
 Design technical architectures and infrastructure components.
 </li>
 <li>
 Create automated data and code quality checks.
 </li>
 <li>
 Implement and enforce data governance policies and best practices to ensure data security and compliance.
 </li>
 <li>
 Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
 </li>
 <li>
 Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
 
 
 </li>
 </ul>
 
 Desired Skills &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
 </li>
 <li>
 3+ years of hands-on experience with Python for data processing in a production environment.
 </li>
 <li>
 2+ years of experience with PostgreSQL.
 </li>
 <li>
 Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
 </li>
 <li>
 Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
 </li>
 <li>
 Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.
 </li>
 <li>
 Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus
 </li>
 </ul>
</div>

Junior Data Engineer

Cloudera

<div>Business Area:
Professional Services
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world&rsquo;s largest enterprises.
As an AI Solutions Engineer within Cloudera&rsquo;s Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from &quot;data chaos&quot; to &quot;agentic autonomy.&quot; You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP).
This is not a &quot;theoretical&quot; role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys&mdash;helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments.
As the AI Solutions Engineer you will:
1. AI Model Strategy, Selection and Implementation<ul><li>
Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.</li><li>
Guide customers on &quot;Build vs. Buy vs. Fine-tune&quot; decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.</li><li>
Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).</li></ul>
2. End-to-End Data Engineering<ul><li>
Design and implement robust data pipelines within CDP to transform &quot;messy&quot; legacy data into AI-ready formats.</li><li>
Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.</li><li>
Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.</li></ul>
3. Optimization &amp; Performance Tuning<ul><li>
Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).</li><li>
Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.</li></ul>
4. Public Sector Advisory &amp; Governance<ul><li>
Collaborate with the customer&rsquo;s AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.</li><li>
Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.</li></ul>
We&rsquo;re excited about you if you have: (Minimum Qualifications):<ul><li>
Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.</li><li>
Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).<ul><li>
Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.</li><li>
Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.</li><li>
Experience developing visual data representations and dashboards (Django, React, or Angular)
</li><li>Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)</li></ul></li><li>
Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).</li><li>
Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).</li><li>
Active Top Secret Security Clearance</li></ul>
You may also have: (Preferred Qualifications)<ul><li>
Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature.</li></ul><ul><li>
Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels.</li><li>
Experience installing and operating Cloudera Data Platform</li><li>
Experience installing and operating Kubernetes</li><li>
Experience in Air-Gapped deployments and managing AI workloads in disconnected environments.</li><li>
Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.</li><li>
CI or FSB Poly</li></ul>
This role is not eligible for immigration sponsorship
What you can expect from us:<ul><li>
Generous PTO Policy</li><li>
Support work life balance with Unplugged Days</li><li>
Flexible WFH Policy</li><li>
Mental &amp; Physical Wellness programs</li><li>
Phone and Internet Reimbursement program</li><li>
Access to Continued Career Development</li><li>
Comprehensive Benefits and Competitive Packages</li><li>
Paid Volunteer Time</li><li>
Employee Resource Groups</li></ul>
EEO/VEVRAA
#LI-MH2
#LI-Remote</div>

AI Solutions Architect

Welo Data

<div>
 
 Overview
 
 
 
 Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
 
 
 This is a high-impact production role focused on building the datasets that power real-world AI systems. You&rsquo;ll be working with audio, speech, and language data &mdash; helping ensure models are trained on accurate, well-structured, and representative inputs.
 
 
 While this role is more execution-focused than evaluation-heavy roles, it still requires
 
 strong judgment, attention to detail, and consistency
 
 . The work sits at the
 
 intersection of language, data, and AI systems
 
 &mdash; where precision and discipline matter at scale.
 
 
 We&rsquo;re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
 
 
 
 Project Details
 
 
 
 <ul>
 <li>
 Job Title: Data Labeling Analyst
 </li>
 <li>
 Hiring in: Washington State (On-Site: Redmond, Seattle, or Bellevue)
 </li>
 <li>
 Hours: Full-time, 40 hours per week
 </li>
 <li>
 Employment Type: W2 Full-Time Employee
 </li>
 <li>
 Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
 </li>
 <li>
 Pay Rate: $26 - $28/hour
 
 
 </li>
 </ul>
 
 Important
 
 : This is a 100% onsite position &mdash; remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Execute high-volume data labeling and annotation tasks across speech and voice datasets
 </li>
 <li>
 Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
 </li>
 <li>
 Work with audio and language data, including transcription, categorization, and tagging
 </li>
 <li>
 Maintain strong throughput while meeting quality expectations
 </li>
 <li>
 Escalate unclear or ambiguous cases appropriately
 </li>
 <li>
 Adapt to evolving guidelines and workflows as systems and requirements change
 </li>
 <li>
 Support baseline data production needs for AI training pipelines
 </li>
 <li>
 Contribute to team calibrations and quality alignment sessions
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Professional-level fluency in Hungarian
 </li>
 <li>
 Strong written communication skills and language fundamentals
 </li>
 <li>
 1&ndash;2 years of experience in data labeling, annotation, or content-focused work
 </li>
 <li>
 Ability to follow detailed instructions and apply guidelines consistently
 </li>
 <li>
 High attention to detail and ability to maintain accuracy in repetitive tasks
 </li>
 <li>
 Comfort working in structured, process-driven environments
 </li>
 <li>
 Ability to manage time effectively and maintain steady output
 </li>
 <li>
 Willingness to ask questions and escalate when needed
 </li>
 <li>
 Basic familiarity with AI, speech technology, or language data is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Paid Sick Time &amp; Paid Holiday (combined): 15 days
 </li>
 <li>
 Paid Holidays: Memorial Day and Labor Day
 </li>
 <li>
 Medical, Dental, and Vision Insurance (eligibility applies)
 </li>
 <li>
 Health Savings Account (HSA)
 </li>
 <li>
 401(k) Retirement Plan
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Additional voluntary benefits (life, accident, critical illness, etc.)
 
 
 </li>
 </ul>
 
 Onsite Perks (where Applicable)
 
 
 
 Free breakfast, lunch, and dinner
 
 
 Stocked micro-kitchens with snacks and beverages
 
 
 Commuter benefits, including shuttles and bike-to-work options
 
 
 Unique campus features depending on location
 
 
 
 Why This Role
 
 
 
 This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
 
 
 It&rsquo;s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
</div>

Data Labeling Analyst - Hungarian Speakers (Speech & Voice AI)

McGuireWoods LLP

<div>Overview:
<div>
We are seeking to fill this position in one of the following offices: Richmond, VA; New York, NY; Washington, DC; Tysons, VA; Chicago, IL; Charlotte, NC; Houston, TX; Austin, TX</div><div></div><div> 
McGuireWoods LLP is seeking to hire a Proposal &amp; Content Manager to join the team in the Washington, DC office. The Proposal &amp; Content Manager is a strategic advisor within McGuireWoods&rsquo; Marketing &amp; Business Development department, responsible for leading high-stakes pursuits and strengthening how the firm presents its capabilities in the market. This role partners closely with attorneys and Business Development to shape pursuit strategy, manage complex RFPs and cross-practice pitches, and deliver clear, persuasive, client-focused proposals that drive new business.</div><div></div><div> 
Combining strong writing with operational rigor, the role translates complex legal and business concepts into compelling, client-aligned narratives. The Proposal &amp; Content Manager also leads continuous improvement across the pursuit function &ndash; refining processes, advancing best practices, and leveraging technology and AI to increase efficiency and results. As a trusted advisor on pursuit strategy and content, this individual positions the firm to compete more effectively and capture growth opportunities.</div><div></div><div> 
McGuireWoods, one of the world&rsquo;s leading law firms, has provided legal solutions to corporate, individual and nonprofit clients since 1834. Along with excellent benefits, McGuireWoods offers most employees a hybrid remote option allowing flexibility and work-life balance. Our Applicant Disclosures describe your rights. Our Privacy Statement describes how we will process and safeguard your personal data.</div>
Responsibilities:
<ul><li>Lead RFPs and high-stakes pursuits: Take ownership of the firm&rsquo;s most complex RFP responses, cross-practice pitches, and panel submissions, ensuring they are strategic, persuasive, and client-focused.</li><li>
Craft compelling narratives: Develop executive summaries, case studies, team bios, and pursuit narratives that position McGuireWoods distinctively and speak directly to client priorities.</li><li>
Shape strategy and execution: Define pursuit objectives, timelines, and win themes, guiding cross-practice teams with authority and clarity under tight deadlines.</li><li>
Serve as a strategic advisor: Partner with lawyers and Marketing &amp; Business Development leadership to shape competitive strategies for RFPs, pitches, and panel processes, including auctions.</li><li>
Influence and collaborate across the firm: Build strong working relationships with partners, finance, and other stakeholders to integrate substantive expertise and client insights into winning materials.</li><li>
Drive operational excellence: Standardize workflows, refine templates, and lead continuous improvement in the firm&rsquo;s pursuit function.</li><li>
Leverage technology and AI: Use platforms like Foundation and generative AI tools to streamline drafting, automate content, and accelerate the delivery of consistent, high-quality proposals.</li><li>
RFP Platform Expertise: Demonstrates proficiency in managing and optimizing RFP platforms such as PERSUIT and Priori, with a focus on driving strategic outcomes and efficient responses.</li><li>
Measure performance and outcomes: Track pursuit activity, win/loss data, and client feedback, turning insights into actionable strategies for department and firm leadership.</li><li>
Maintain and elevate firm content: Lead the upkeep of proposal libraries, experience databases, and templates, ensuring the highest standards of quality and readiness.</li></ul>
Qualifications:
<ul><li>5+ years of experience writing in a proposal environment; law firm marketing experience preferred.</li><li>
Bachelor's degree or higher; degree in Journalism, Marketing, Communications, English or similar field of study preferred.</li><li>
Extensive experience with dataset/content management tools.</li><li>
Very strong writing, editing and communication skills.</li><li>
Ability to meet deadlines managing multiple tasks.</li><li>
Strong attention to detail.</li><li>
Proficiency in Microsoft and Google applications a plus.</li><li>
A pursuits professional with 5+ years of experience managing complex proposals in a law firm or professional services environment.</li><li>
A persuasive communicator and storyteller who can distill technical legal and business issues into client-centered, compelling narratives.</li><li>
Experienced in the full pursuit lifecycle, including competitive RFPs, cross-practice submissions, and global panel processes.</li><li>
Skilled at balancing big-picture strategy with operational discipline, ensuring both creativity and flawless execution.</li><li>
Technologically fluent, confident using tools and platforms to drive efficiency, speed, and quality.</li><li>
Analytical and data-driven, capable of developing insights and recommendations that inform firmwide strategy.</li><li>
Collaborative, resilient, and able to thrive in a fast-paced, high-stakes environment.</li><li>
Willingness and desire to work with innovative technology platforms - our employees also have access to Harvey, a legal-specific AI tool that reduces time spent on routine tasks, allowing you to focus on more meaningful, high-impact work.</li></ul><div></div><div> 
Have more questions? Connect with a recruiter directly. #LI-ER1</div></div>

Proposal & Content Manager

Explore 593+ Data ai engineer 90408785 washington in Washington this May. Find roles across top companies and apply now to boost your career.