ai data engineer

BV Teck

<div>AI Data Engineer &ndash; Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: AI Data Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $80,000&ndash;$100,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or a related field.</li><li>
Six or more years of data engineering experience, with significant work supporting ML or AI workloads.</li><li>
Strong proficiency in Python and at least one JVM or systems language.</li><li>
Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.</li><li>
Hands-on experience operating petabyte-scale storage and pipeline systems.</li><li>
Strong understanding of distributed systems, data modeling, and storage formats.</li><li>
Experience with dataset versioning, lineage, and reproducibility for ML workflows.</li><li>
Familiarity with high-throughput data loading for accelerator-based training.</li><li>
Strong software engineering practices including testing, CI/CD, and code review.</li><li>
Excellent communication and cross-functional collaboration skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with multimodal datasets at large scale.</li><li>
Familiarity with data quality tooling and dataset evaluation methodology.</li><li>
Exposure to privacy-preserving data systems and regulated data handling.</li><li>
Open-source contributions to data infrastructure projects.</li><li>
Experience supporting frontier model training pipelines.</li></ul>
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. 
Bright Vision Technologies is an Equal Opportunity Employer. 
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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AI Data Engineer

BillGO, Inc.

<div>Senior AI Data Analytics Engineer
BillGO is building the next generation of payments &mdash; an intelligent network that helps small businesses get paid faster, operate leaner, and grow with confidence. The Senior AI Data Analytics Engineer sets the technical direction for BillGO's data and AI architecture, turning payments data into reliable, scalable, and intelligent products the rest of the organization builds on. Reporting to the VP, Data Office, this role sits at the intersection of data engineering, analytics, AI/ML, and the business. It's an individual-contributor role with no direct reports &mdash; leadership is exercised through architecture, standards, and mentorship, not people management. Success is measured by the reliability, reuse, and trustworthiness of BillGO's data and AI products, not the volume of models or dashboards produced.<div>
</div>Why This Role Matters
BillGO's future runs on trustworthy data, and this role owns making sure it stays that way as the company scales. As the architect of the data models, semantic layers, and AI/RAG patterns that Product, Finance, Risk, and Operations all build on, this person turns scattered payments data into a single source of truth - while setting the validation standards that keep AI-generated insights accurate before they ever reach a decision-maker. It's an individual contributor role with outsized reach: get it right, and BillGO moves faster with more confidence - faster reconciliation, fewer fraud losses, and self-service, AI-powered insight in the hands of every team instead of just a few.
 What You&rsquo;ll Do
Data &amp; AI Architecture<ul><li>
Own the architecture and roadmap for scalable data models covering customers, payments, transactions, settlements, and financial reporting</li><li>
Architect solutions across Snowflake, AWS RDS, and AWS DynamoDB, integrating sources from AWS S3</li><li>
Lead the design of data dictionaries, semantic layers, and data catalogs that power both human and AI-driven analytics</li></ul>
Data Quality, Governance &amp; Standards<ul><li>
Set and evangelize engineering standards, patterns, and best practices, and drive their adoption across the organization</li><li>
Establish frameworks for data quality and integrity through testing, monitoring, and documentation</li><li>
Support regulatory and financial reporting needs &mdash; reconciliation, audit readiness &mdash; with accurate, well-governed data</li></ul>
Business Partnership &amp; Enablement<ul><li>
Partner with senior leaders across Product, Finance, Risk, and Operations to define key metrics and enable insights, dashboards, and predictive models</li><li>
Translate ambiguous business strategy into data and AI solutions that scale with company growth</li><li>
Put AI-powered, self-service insights in the hands of every team</li></ul>
Technical Leadership &amp; Mentorship<ul><li>
Set technical direction that improves visibility into payment performance and revenue drivers</li><li>
Mentor and coach engineers through design reviews, pairing, and code review</li><li>
Coach the team on using AI coding and analytics assistants to accelerate development and documentation</li><li>How You'll Use AI</li></ul>
This role treats AI as core infrastructure, not a side project. You'll apply generative AI and large language models (e.g., Claude) to accelerate data transformation, documentation, and metric definition, and to enable natural-language access to enterprise data. You'll architect retrieval-augmented generation (RAG) and semantic search over enterprise data so trusted datasets are easily discoverable and queryable by both humans and AI systems. You'll design, build, and operationalize AI/ML workflows &mdash; from feature engineering to LLM-powered pipelines &mdash; that turn analytics into predictions and automation. And because AI-generated insight is only as good as its validation, you'll establish the responsible AI practices &mdash; around bias, hallucination, and data privacy &mdash; that ensure AI outputs are checked before they influence a financial decision. You'll also coach the broader team on using AI coding and analytics assistants to work faster and document better.
 What You Bring<ul><li>
5+ years in analytics engineering, data analytics, or data engineering, including senior or lead responsibilities</li><li>
Expert SQL and data analytics skills, with proven ability to model complex datasets (fact/dimension modeling, star schemas) and design data architecture end to end</li><li>
Deep experience with data warehousing (Snowflake) and transformation frameworks like Coalesce, including establishing team conventions</li><li>
Experience building and owning metrics layers or semantic models used across multiple teams</li><li>
Strong command of ELT pipelines, data orchestration, and Python for data processing and automation</li><li>
Extensive hands-on experience applying generative AI and LLMs to real data and analytics problems in production</li><li>
Strong experience with RAG, embeddings, and vector databases, plus a solid ML and MLOps foundation</li><li>
A track record of technical leadership and mentorship, with a critical eye for data accuracy and AI-generated results</li><li>
Payments, fintech, financial services, or enterprise SaaS experience strongly preferred</li><li>
Skill at influencing and communicating with senior technical and non-technical stakeholders</li><li>
Nice to have: advanced data science/ML experience, LLM fine-tuning or benchmarking, agentic AI workflows, event-driven or streaming architectures, and hands-on knowledge of payments concepts like authorization/settlement, interchange, chargebacks, and reconciliation.</li></ul>
 Compensation<div>
</div>We offer a competitive executive compensation package, including:<ul><li>
Base salary ($132,800 - $196,500)</li><li>
Performance incentive</li><li>
Equity opportunities
</li><li>Comprehensive health, retirement, and lifestyle benefits</li></ul>
This role is about more than compensation, it&rsquo;s about the opportunity to transform how small businesses thrive in the digital economy.</div>

Senior AI Data Analytics Engineer

Blueprint Technologies

<div>Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We're bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You'll focus on solving unique business problems while gaining hands-on experience with the world's best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won't find a better place to work and thrive than at Blueprint.

In This Role

In this role, you will design, develop, and support telemetry reporting, analytics, automation, and AI-assisted solutions that improve visibility into service health, availability, operational performance, telemetry coverage, and data quality. You will build dashboards, reports, data models, automation workflows, and analytics components that help engineering and operations teams monitor production systems, identify issues, and make data-driven decisions.

The role includes developing Power BI reports, Grafana dashboards, Kusto-based analytics, SQL queries, ETL/data pipelines, and AI-enabled reporting components. You will also validate production solutions, troubleshoot reporting and data issues, support scheduled refreshes, maintain documentation, and collaborate with cross-functional teams to deliver reliable and scalable analytics solutions.

Responsibilities
<ul>
<li>Design, develop, enhance, validate, maintain, and support telemetry reporting, analytics, automation, and AI-assisted solutions.</li>
<li>Build and maintain Power BI reports, Grafana dashboards, semantic models, and analytics solutions that deliver actionable business and operational insights.</li>
<li>Develop, optimize, and maintain Azure Data Explorer/Kusto queries, functions, data models, scheduled tables, materialized tables, snapshot tables, and supporting datasets.</li>
<li>Integrate enterprise data sources and develop SQL queries, ETL processes, and data pipelines needed for reporting and analytics solutions.</li>
<li>Create automation solutions using Python, PowerShell, C#, or similar scripting/programming languages to streamline operational tasks and business processes.</li>
<li>Develop AI-enabled reporting and analytics components, including agent-based workflows, prompt assets, knowledge files, and automated reporting capabilities.</li>
<li>Validate data quality, business logic, report accuracy, dashboard performance, and scheduled refreshes to ensure reliable production solutions.</li>
<li>Monitor, troubleshoot, and resolve data pipeline, query, reporting, dashboard, and production issues.</li>
<li>Create and maintain technical documentation, reusable components, and engineering best practices to support long-term maintainability.</li>
<li>Collaborate with engineering, operations, and business stakeholders to deliver scalable, high-quality analytics and reporting solutions.</li>
<li>Support continuous improvement of telemetry visibility, telemetry availability, clean telemetry, and telemetry data quality.</li>
</ul>
Qualifications
<ul>
<li>5+ years of experience in reporting and analytics, including Power BI, data modeling, DAX, Grafana or similar reporting platforms, and web-based reporting.</li>
<li>5+ years of experience in data engineering, including SQL, ETL/data pipelines, data modeling, and cloud-based analytics platforms.</li>
<li>3+ years of experience with automation, scripting, or application development using Python, PowerShell, C#, or similar languages.</li>
<li>Hands-on experience developing dashboards, reports, analytics models, and operational reporting solutions.</li>
<li>Experience building and optimizing Kusto/ADX queries or working with similar large-scale analytics/query platforms.</li>
<li>Experience integrating enterprise data sources and supporting data pipelines for analytics and reporting use cases.</li>
<li>Experience validating report accuracy, business logic, data quality, and production refresh processes.</li>
<li>Ability to troubleshoot production issues related to data pipelines, queries, dashboards, reporting solutions, and automation workflows.</li>
<li>Experience working with Azure DevOps or similar work item tracking and delivery tools.</li>
<li>Strong documentation, collaboration, and communication skills.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with telemetry, service health, availability monitoring, operational dashboards, or production monitoring systems.</li>
<li>Experience supporting enterprise-scale reporting, analytics, or data engineering environments.</li>
<li>Experience with AI-assisted reporting, agentic solutions, Copilot-style agents, prompt assets, or automated report generation.</li>
<li>Experience developing reusable analytics components, reporting templates, automation frameworks, or shared data models.</li>
<li>Experience working across the full solution lifecycle, including requirements gathering, development, validation, production support, and continuous enhancement.</li>
<li>Experience improving telemetry coverage, telemetry data quality, operational visibility, and production reliability.</li>
<li>Familiarity with modern cloud analytics, observability, and data platform technologies.</li>
<li>Ability to deliver high-quality work with minimal rework and strong first-pass acceptance during stakeholder review.</li>
<li>Ability to work effectively in a hybrid, cross-functional engineering environment.</li></ul> 


Salary Range

At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $150,000&ndash; $170,000 per annum. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate's qualifications and could fall outside the stated range.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:
<ul>
<li>Medical, dental, and vision coverage</li>
<li>Flexible Spending Account</li>
<li>401k program</li>
<li>Competitive PTO offerings</li>
<li>Parental Leave</li>
<li>Opportunities for professional growth and development</li>
</ul>
Location: Hybrid</div>

Senior AI Data Engineer – Telemetry Reporting & Analytics

Wight & Company

<div>Are you looking for an opportunity to do challenging, creative work that makes a real impact? Would you like to be part of a company that respects individual contributions and thrives on collaboration? Do you love to win? Then consider joining Wight &amp; Company. We're a nationally recognized, award-winning architecture, engineering, and construction firm known for a dynamic company culture that fosters innovation and challenges the status quo, and we're looking for a talented professional to join our team.

Wight &amp; Company is seeking an AI Solutions &amp; Data Engineer to help turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This hybrid role will work across architecture, engineering, construction, and business operations to identify valuable AI opportunities, develop AI agents and automated workflows, connect information from multiple systems, and help employees confidently apply AI in their work. The ideal candidate combines technical ability with curiosity, creativity, and strong communication skills. This person should be comfortable building solutions directly, facilitating conversations with teams, translating business challenges into technical approaches, and teaching others how to use new tools effectively. The AI Solutions &amp; Data Engineer will report to the Chief Innovation Officer and collaborate with technology, BIM, operations, and departmental leaders across the company.

ESSENTIAL RESPONSIBILITIES

Develop AI Solutions and Agents
<ul>
<li>Design, build, test, and maintain AI agents that support project delivery and business operations.</li>
<li>Develop solutions using large language models, retrieval-augmented generation, workflow automation, APIs, and related technologies.</li>
<li>Connect AI tools with internal applications, document repositories, databases, and third-party platforms.</li>
<li>Create prototypes and pilot programs that allow teams to evaluate new ideas quickly.</li>
<li>Establish methods for testing solution accuracy, reliability, security, and business value.</li>
<li>Help move successful prototypes into maintainable, production-ready solutions.</li>
<li>Monitor the performance and adoption of deployed AI solutions and improve them over time.</li>
</ul>
Build and Manage Data Solutions
<ul>
<li>Gather, clean, organize, and combine data from multiple business and project systems.</li>
<li>Develop and maintain data pipelines, integrations, structured datasets, and reusable data services.</li>
<li>Help establish reliable connections between project, financial, operational, and knowledge-management platforms.</li>
<li>Improve the accessibility and usefulness of organizational data while maintaining appropriate security and permissions.</li>
<li>Collaborate with system owners to improve data quality, consistency, documentation, and governance.</li>
<li>Support dashboards, reporting, predictive analytics, and AI applications that depend on reliable data.</li>
<li>Identify opportunities to reduce duplicate data entry and improve the flow of information across the organization.</li>
</ul>
Identify and Prioritize AI Opportunities
<ul>
<li>Meet with teams across the company to understand their work, challenges, and opportunities.</li>
<li>Facilitate workshops and brainstorming sessions focused on meaningful business problems rather than technology alone.</li>
<li>Translate business needs into clearly defined AI, automation, or data initiatives.</li>
<li>Evaluate potential solutions based on value, feasibility, risk, scalability, and alignment with company priorities.</li>
<li>Help departments develop practical roadmaps for adopting AI and improving their use of data.</li>
<li>Stay informed about emerging AI capabilities and evaluate where they may create value for the company or its clients.</li>
</ul>
Train and Support Teams
<ul>
<li>Develop and deliver practical AI training for employees with varying levels of technical experience.</li>
<li>Teach teams how to use approved AI tools effectively, securely, and responsibly.</li>
<li>Create guides, demonstrations, templates, prompt libraries, and other reusable learning resources.</li>
<li>Coach individuals and teams as they incorporate AI into existing workflows.</li>
<li>Support a network of internal AI champions who can help expand adoption across the organization.</li>
<li>Share successful use cases and lessons learned to encourage continuous improvement.</li>
</ul>
Support Responsible AI and Data Governance
<ul>
<li>Help establish technical standards for AI development, data integration, documentation, testing, and deployment.</li>
<li>Apply appropriate security, privacy, intellectual-property, and data-governance requirements to AI solutions.</li>
<li>Work with technology, legal, risk, and business leaders to evaluate proposed tools and use cases.</li>
<li>Maintain clear documentation of data sources, integrations, models, prompts, permissions, dependencies, and system behavior.</li>
<li>Promote responsible human oversight and clearly communicate the limitations of AI-generated results.</li>
</ul>
BACKGROUND &amp; EXPERIENCE EXPECTATIONS
<ul>
<li>Bachelor's degree in computer science, data engineering, information systems, software engineering, or a related field&mdash;or equivalent professional experience.</li>
<li>Experience developing AI-enabled applications, software integrations, data solutions, or workflow automations.</li>
<li>Proficiency in Python, SQL, APIs, and common data-processing methods.</li>
<li>Experience working with structured and unstructured data from multiple sources.</li>
<li>Understanding of modern generative AI concepts, including large language models, embeddings, vector search, tool use, and retrieval-augmented generation.</li>
<li>Experience developing with cloud platforms, databases, automation tools, or enterprise application ecosystems.</li>
<li>Ability to translate loosely defined business challenges into practical technical solutions.</li>
<li>Strong written, verbal, presentation, and facilitation skills.</li>
<li>Ability to explain technical concepts clearly to nontechnical audiences.</li>
<li>A collaborative mindset and an interest in working directly with employees across many disciplines.</li>
<li>Sound judgment regarding data privacy, cybersecurity, intellectual property, and responsible AI use.</li>
<li>Ability to balance experimentation and speed with reliability, documentation, and long-term maintainability.</li>
</ul>
PREFERRED QUALIFICATIONS
<ul>
<li>Experience with Microsoft Azure, Microsoft 365, Copilot Studio, Power Platform, Fabric, or related Microsoft technologies.</li>
<li>Experience with AI platforms and APIs such as Azure OpenAI, OpenAI, Anthropic, or similar services.</li>
<li>Experience with ETL/ELT processes, data warehouses, lakehouses, semantic models, or business-intelligence platforms.</li>
<li>Familiarity with agent frameworks, orchestration tools, vector databases, or enterprise search technologies.</li>
<li>Experience with application development, source control, testing, deployment, and DevOps practices.</li>
<li>Experience delivering technical training, facilitating workshops, or supporting organizational change.</li>
<li>Familiarity with architecture, engineering, construction, professional services, or project-based organizations.</li>
<li>Experience integrating enterprise systems such as Microsoft 365, Autodesk Construction Cloud, Procore, Bentley, Unanet, CMiC, Egnyte, or similar platforms.</li>
<li>Familiarity with BIM, digital project delivery, estimating, construction management, or design technology is beneficial but not required.</li>
</ul>
Salary Range: $100,000 - $160,000. Individual pay will be based on several factors including experience, knowledge, skills, and abilities of the applicant.

Wight &amp; Company offers excellent benefits and a wonderful work environment. Our comprehensive benefits including medical, dental, vision, disability, life insurance, flexible spending, paid holidays, paid time off, and a 401(k). Our flexible work schedule allows for a healthy work-life balance. For more information about our company, visit our website at www.wightco.com.

Wight &amp; Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetics, protected veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

Wight &amp; Company values diversity in our workforce. We are committed to recruiting, hiring, and promoting people with disabilities and veterans. If you need an accommodation to assist with completing the electronic application, please call us at 630.969.7000 and ask to speak with a Human Resources representative.

#LI-NS1</div>

AI Solutions & Data Engineer

propio

<div>Description: 
Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you&rsquo;re passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.
We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.
This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.
The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.
Key Responsibilities:<ul><li>
Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.</li><li>
Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.</li><li>
Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.</li><li>
Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.</li><li>
Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.</li><li>
Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.</li><li>
4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.</li><li>
Strong hands-on experience with Python, SQL, and dataset curation pipelines.</li><li>
Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.</li><li>
Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.</li><li>
Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.</li><li>
Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.</li></ul> 
Preferred Qualifications<ul><li>
Master&rsquo;s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.</li><li>
Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.</li><li>
Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.</li><li>
Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.</li></ul></div>

AI Data Strategy Engineer / Applied Scientist, LLM Data

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Detroit, MI, USA

Software Engineer, Data Infrastructure & Acquisition - Jersey City, NJ, USA

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