11+yrs senior trainer - washington, dc (onsite)

data engineer

data analyst

dhcf dcas - trainer coordinator Jobs in Washington

dhcf dcas - trainer coordinator

executive assistant (remote) Jobs in Washington

executive assistant (remote)

11+yrs senior trainer - washington, dc (onsite) Jobs in Washington

ai trainer data annotator remote

YO IT Consulting

<div>
 Role Overview
 
 
 Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Synthesize information from large volumes of data
 </li>
 <li>
 Annotate and categorize text, images, and other data according to detailed guidelines
 </li>
 <li>
 Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
 </li>
 <li>
 Flag inconsistencies, ambiguities, or errors in datasets
 </li>
 <li>
 Contribute to the improvement of AI systems through consistent annotation work
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 Ability to synthesize complex or high-volume information into structured formats
 </li>
 <li>
 Strong critical reasoning, reading comprehension, and written communication skills
 </li>
 <li>
 Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
 
 
 </li>
 </ul>
 More About the Opportunity
 
 
 <ul>
 <li>
 Expected commitment: ~20 hours/week
 
 
 </li>
 </ul>
 Application Process
 
 
 <ul>
 <li>
 Submit your resume to begin
 </li>
 <li>
 Complete a Training Assessment
 </li>
 <li>
 Typical response time: 1-2 business days
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 Contract and Payment Terms
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 <li>
 Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
 </li>
 <li>
 Payments are weekly on Stripe or Wise, based on services rendered.
 </li>
 </ul>
</div>

Ai Trainer/Data Annotator - Remote

DataAnnotation

<div>
 DataAnnotation is committed to creating high-quality AI. We are looking for a Director of Finance to join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles &mdash; whether you&rsquo;re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.
 
 
 We're currently expanding into an exciting new area &ndash; teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.
 
 
 
 Role
 
 
 
 We&rsquo;re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:
 
 
 <ul>
 <li>
 Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
 </li>
 <li>
 Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
 </li>
 <li>
 Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up &ndash; and where it doesn&rsquo;t.
 </li>
 <li>
 Share clear, structured feedback to help make each new version of the AI smarter and more reliable.
 
 
 </li>
 </ul>
 To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master&rsquo;s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots diverse and complex problems and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is is preferred but not required
 
 
 </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in United States will be considered for this role. This is an independent contract position.
 
 
 #finance
</div>

Director of Finance

<div>
 We are looking for a Data Insights Analyst to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role will require proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) in order to solve coding problems (think LeetCode, HackerRank, etc). For each coding problem, you must be able to explain how your solution solves the problem.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots coding challenges and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Experience with algorithms, data structures, and debugging workflows
 </li>
 <li>
 A current, in progress, or completed Bachelor's degree is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #coder
</div>

Data Insights Analyst

Annexa Inc.

<div><div>Senior Integrated Eligibility Healthcare Systems Trainer</div>
<div>Employment: Full Time</div>
<div>Location: Onsite</div> 
<div>
<div> 
Annexa Inc is currently looking for a Senior level Integrated Eligibility Systems Trainer with proven professional experience in the design, development, and delivery of Eligibility systems training. This position is housed under the Office of the Chief Technology Officer in direct support of the DC Access System (DCAS). DCAS is looking for a Senior Integrated Eligibility Systems Trainer who will be responsible for designing, developing, and delivering training for the Integrated Eligibility system supporting MAGI, SNAP and TANF programs. The incumbent will collaborate with other team members and Organizational Change Management leadership to deliver training and develop and maintain training materials and training schedules. This is a position in the DC Access System (DCAS) project and the incumbent will become an integral part of the DCAS Team, building relationships with frontline staff and their leadership. This individual will be working closely with DCAS and its partner agencies to ensure the agencies&rsquo; priorities are met. . 
 
Responsibilities:</div>
<ul><li>Analyze, design, develop, and test industry-standard training materials in support of ongoing continuing improvement and new releases.</li>
<li>Provide hands-on support for frontline workers and their supervisors.</li>
<li>Deliver quality training with measurable outcomes.</li>
<li>Conduct post-training assessments, including observations. Assist in establishing best-practices for Level 1, Level 2, and Level 3 assessments.</li>
<li>Analyze system support tickets to identify training and support needs.</li>
<li>Mentor other eligibility trainers in best practices for adult learning.</li>
<li>Coordinates IT project management, engineering, maintenance, QA, and risk management.</li>
<li>Plans, coordinates, and monitors project activities.</li>
<li>Develops technical applications to support users.</li>
<li>Develops, implements, maintains and enforces documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems.</li>
<li>Provides training for system products and procedures.</li>
<li>Performs application upgrades.</li>
<li>Performs, monitoring, maintenance, or reporting on real- time databases, real-time network and serial data communications, and real-time graphics and logic applications.</li>
<li>Troubleshoots problems.</li>
<li>Ensures project life-cycle is in compliance with District standards and procedures.</li>
<li>Candidates should possess demonstrated experience in Learning Management System (LMS) design and development. This includes proficiency in eLearning authoring tools (e.g., Articulate or comparable platforms)</li>
<li>Candidates should possess experience conducting user acceptance testing (UAT), and the ability to design, build and validate training cases within a system training environment to support instructional delivery and system reinforcement</li>
</ul>
<div> 
Required Skills:</div>
<ul><li>16+ yrs planning, coordinating, and monitoring project activities</li>
<li>16+ yrs leading projects, ensuring they are in compliance with established standards/procedures</li>
<li>Bachelor&rsquo;s degree in IT or related field or equivalent experience</li>
<li>10 yrs Experience presenting information and/or delivering in-person training.</li>
<li>8 yrs Prof. with a wide variety of technology and software including Word, Excel, Access, PowerPoint, Outlook, Acrobat, Skype for Business, Visio, Snag etc.</li>
<li>10 yrs Expert knowledge of the principles and practices of adult learning.</li>
<li>10 yrs Advanced knowledge of instructional methods and training techniques.</li>
<li>10 yrs Ability to facilitate training sessions.</li>
<li>8 yrs Ability to evaluate the effectiveness of training techniques.</li>
<li>10 yrs Ability to communicate information and ideas clearly verbally and in writing based on the needs of the audience.</li>
<li>6 yrs Ability to manage multiple&amp;competing priorities with short deadlines.Ability to use judgment&amp;critical thinking to interpret, prioritize&amp; follow policy</li>
<li>2 yrs Experience training Integrated Eligibility systems to frontline workers.</li>
</ul>
<div></div><div>Desired Skills:</div>
<ul><li>2 yrs Experience training the IBM C&uacute;ram CGISS and HCR modules.</li>
<li>2 yrs Experience with SNAP, TANF, and Medicaid programs and policy.</li></ul></div></div>

Senior Integrated Eligibility Healthcare Systems Trainer

Wisedocs AI

<div>Wisedocs is a fast-growing, venture-backed AI platform that transforms how insurance companies analyze claims. With ~$20M USD raised, 100+ team members globally, and 90+ customers across North America and Australia, we&rsquo;re doubling revenue year over year.
Founded by experts who&rsquo;ve experienced the claims process firsthand, Wisedocs combines deep domain knowledge with next-gen AI trained on 100M+ documents. Our platform turns complex medical records into clear, structured insights&mdash;backed by expert human oversight.
Join a mission-driven team building intelligent products that cut through complexity, accelerate decision-making, and make a real impact when it matters most.
Role Summary 
As we continue to grow, we are seeking a Medical Documentation Specialist to join our team. This role provides hands-on experience working with AI systems in a fast-paced and fast-growing technology company. You will act as a subject-matter expert embedded directly into AI workflows, evaluating, correcting, and enhancing AI-generated medical outputs and actively seeing first-hand how human judgment shapes machine learning outcomes. As an integral part of our innovative and cutting-edge environment, you will gain direct exposure to how AI products are built, improved, and scaled in a real-world startup environment, working alongside our team of brilliant machine learning and tech engineers.
This position offers a strong foundation for career growth or transition, helping you develop technical fluency, data literacy, and an AI-first mindset. For individuals who demonstrate strong performance and curiosity, this role can serve as a stepping stone into more technical paths within AI operations, quality, or machine learning teams.
This position supports a U.S. government contract. Therefore, having U.S. citizenship of 3+ years is a prerequisite for this role, and you will be required to undergo a security clearance. 
What you&rsquo;ll be doing<ul><li>
Review, validate, and improve AI-generated outputs</li><li>
Identify systemic errors, edge cases, and opportunities to improve model performance</li><li>
Must be able to review and document with strong quality focus and application of clinical experience to extract key information for medical summaries and compare data with source documents to detect clinical or technical errors</li><li>
Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues to directly influence training and iteration cycles</li><li>
Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements</li><li>
Meet or exceed defined productivity and quality benchmarks in a high-throughput, AI-assisted production environment.</li><li>
Other duties and projects as assigned</li></ul> 
What experience we need<ul><li>
Background in health sciences, clinical documentation, or medical data is valued; however, demonstrated interest in technology, AI-enabled workflows, or data-driven systems is essential</li><li>
Comfort working with AI-generated outputs and a mindset oriented toward leveraging automation to improve speed, consistency, and scale</li><li>
This position is ideal for candidates with health sciences or clinical background seeking to evolve their careers in a more technical direction.</li><li>
This role serves as an entry point for career growth into more technical roles, including Quality, AI Operations, or Machine Learning teams, for individuals who demonstrate strong performance, technical aptitude, and curiosity.</li></ul> 
 
Technical &amp; Analytical Skills<ul><li>
High comfort working in web-based tools, annotation platforms, and productivity software</li><li>
Strong keyboard proficiency and ability to work efficiently in high-volume digital environments</li><li>
Ability to learn new tools quickly and adapt to evolving AI-driven workflows</li><li>
Basic understanding of how machine learning systems are trained and improved (training provided)</li><li>
Experience with data labeling, QA workflows, or structured data review is a plus</li><li>
Exceptional grammar, communication and writing skills</li><li>
High level of accuracy, attention to detail and ability to exercise flexibility and comfort making judgment calls related to AI outputs</li><li>
Ability to balance speed and accuracy in a production environment
</li><li>Ability to work independently as well as collaboratively in a team-oriented environment</li></ul> 
What We Offer<ul><li>
Remote for US based employees
</li><li>Modern employee benefits, including health and dental coverage
</li><li>Competitive compensation, with valuable stock options, as we&rsquo;re still a young company growing very quickly.
</li><li>An opportunity to develop very rapidly in your career. We can offer you a super-immersive learning environment, and when you thrive there, you will have the opportunity to rapidly develop this opportunity into senior practitioner or management opportunities as you choose.
</li><li>Access to a learning and professional development fund to help you level up your career while you&rsquo;re working with us. We hope to be an incredible step up in your career if you decide to come and work with us.
</li><li>Company events
</li><li>Generous Paid Time Off
</li><li>Paid Sick Days
</li><li>Casual Dress code
</li><li>Employee Referral Bonus
</li><li>Tuition Assistance
</li>Plus, many other Recognition Programs! 
<li>
</li></ul> 
Recruitment Journey at Wisedocs
We're excited to meet you and explore the possibilities together! At Wisedocs, honesty is one of our core values. Our Recruitment process is transparent to ensure you are set up for success:
<ul><li>Round 1 &ndash; People &amp; Culture Chat: 20&ndash;30 min conversation about your background, goals, and the role.
</li><li>Between Round 1 &amp; 2 - Technical Assessment: If you move forward, our People &amp; Culture team will send you a technical assessment to complete.</li><li>
Round 2 &ndash; Meeting with the Performance Manager: A 30-minute conversation focused on your interest in technology and healthcare, as well as your experience working with medical records</li><li>
Round 3 &ndash; Meeting with the Medical Data Team Lead: A 30-minute conversation focused on your experience, your interest in working at Wisedocs, and a discussion around Wisedocs&rsquo; mission and impact.</li></ul><div><ul><li> 
Wisedocs AI is an equal opportunity employer and is committed to providing employment accommodation in accordance with AODA. If you require accommodation, please notify us and we will work with you to meet your needs.</li></ul></div></div>

Medical Documentation Specialist

CAQH

<div>Position Summary:
The Data Engineer will play a strategic role in designing, developing, and optimizing advanced data pipelines and infrastructure to support CAQH&rsquo;s enterprise data modernization efforts. This role is critical to delivering scalable, secure, and high-performance data solutions that drive analytics, reporting, and AI/ML initiatives across the organization. This role owns complex data modeling, enrichment logic, and pipeline reliability across Databricks, Azure SQL, and downstream analytics and API consumers. The position requires deep domain expertise, strong cross-team collaboration, and the ability to translate ambiguous requirements into production-ready data solutions while guiding vendors and internal teams. 
The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data Engineering &amp; Architecture. 
Base Salary: $120,000 - $135,000 
Data Engineering &amp; Architecture<ul><li>
Design, build, and maintain complex ETL/ELT pipelines across Databricks, Azure SQL, and downstream gold-layer models supporting priority projects</li><li>
Lead development and evolution of enriched data models, including field-level enrichment logic, recency rules, and provider-level enrichment flags.</li><li>
Own data logic, including reconciliation between source and target data sources and resolution of duplication and data discrepancies.</li>
Implement and refine medallion architecture patterns (bronze<li> gold), ensuring data quality, traceability, and performance at scale.</li></ul> 
Data Quality, Governance &amp; Reliability<ul><li>
Identify, document, and remediate systemic data quality issues, including null handling, soft deletes, authorization flags, and incorrect organizational mappings.</li><li>
Define and operationalize rules for data in collaboration with product, governance, and engineering stakeholders.</li><li>
Produce authoritative documentation (Confluence, mapping workbooks) to serve as a single source of truth for enrichment logic and data behavior.</li><li>
Cross‑Functional &amp; Vendor Collaboration</li><li>
Act as a primary technical counterpart for vendors providing detailed queries, validation logic, and corrective guidance on upstream data issues.</li><li>
Partner closely with product owners, architects, and application teams to ensure data models align with product defined use cases.</li><li>
Support UAT and release readiness by preparing data, validating counts, and resolving last‑mile data defects under tight timelines.</li></ul> 
Technical Leadership<ul><li>
Provide hands-on technical leadership without formal direct reports, mentoring peers and guiding best practices in SQL, Databricks notebooks, and data modeling.</li><li>
Influence architectural decisions related to Databricks compute, job scheduling, and environment promotion strategies.</li></ul> 
Skills:<ul><li>
Advanced SQL expertise (complex joins, reconciliation, performance tuning).</li><li>
Deep hands-on experience with Databricks, Delta Lake, and Azure SQL.</li><li>
Strong data modeling skills for analytical, operational, and API‑driven use cases.</li><li>
Proven ability to debug and stabilize messy, evolving enterprise data domains.</li><li>
Excellent written and verbal communication, especially for explaining complex data behavior to non‑technical stakeholders.</li><li>
Experience using Git, DevOps tools, and CI/CD pipelines for data engineering workflows.</li></ul> 
Experience:<ul><li>
4&ndash;7 years of hands-on experience in a data engineering or analytics engineering role.</li><li>
Demonstrated success leading data modernization or migration initiatives in cloud environments.</li><li>
Prior experience working with healthcare or other regulated data environments is highly desirable.</li></ul> 
Education:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.</li><li>
Azure Data Engineer Associate or related certification (preferred).</li><li>
Coursework or certification in AI/ML (preferred but not required).</li></ul> 
WHO WE ARE
CAQH is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, CAQH helps healthcare operate more efficiently, accurately, and with greater confidence. 
WHAT YOU GET
At CAQH, you will do meaningful work at the intersection of healthcare, data, and technology, alongside experienced professionals who care about getting things right. We are a fully remote organization with employees across the U.S.
CAQH provides competitive compensation and a comprehensive benefits package for full-time employees, including medical, dental, and vision coverage, a 401(k) with employer contribution, paid parental leave, tuition assistance, and paid time off. We are committed to investing in our people and supporting professional growth and development over time. 
EQUAL OPPORTUNITY EMPLOYER
CAQH is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered. Employment decisions at CAQH are made without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, sexual orientation, gender identity or expression, familial status, family responsibilities, genetic information, or any other characteristic protected by law.
Applicants have rights under the Family Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection Act (EPPA). If you need a reasonable accommodation to apply for a position, please contact CAQH Human Resources at hr@caqh.org. 
#LI-Remote</div>

Data Engineer

<div>
 
 Work Mode:
 
 Remote
 
 
 
 Engagement Type:
 
 Independent Contractor
 
 
 
 Schedule:
 
 Full-Time or Part-Time Contract
 
 
 
 Language Requirement:
 
 Fluent English
 
 
 
 Role Overview
 
 
 
 We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems.
 
 
 This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels.
 
 
 The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts.
 
 
 
 What You&rsquo;ll Do
 
 
 
 Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness
 
 
 Conduct fact-checking using trusted public sources and authoritative references
 
 
 Conduct accuracy testing by executing code and validating outputs using appropriate tools
 
 
 Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
 
 
 Assess code quality, readability, algorithmic soundness, and explanation quality
 
 
 Ensure model responses align with expected conversational behavior and system guidelines
 
 
 Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines
 
 
 
 Who You Are
 
 
 
 You hold a BS, MS, or PhD in Computer Science or a closely related field
 
 
 You have significant real-world experience in software engineering or related technical roles
 
 
 You are an expert in at least one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust)
 
 
 You are able to solve HackerRank or LeetCode Medium and Hard-level problems independently
 
 
 You have experience contributing to well-known open-source projects, including merged pull requests
 
 
 You have significant experience using LLMs while coding and understand their strengths and failure modes
 
 
 You have strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws
 
 
 
 Nice-to-Have Specialties
 
 
 
 Prior experience with RLHF, model evaluation, or data annotation work
 
 
 Track record in competitive programming
 
 
 Experience reviewing code in production environments
 
 
 Familiarity with multiple programming paradigms or ecosystems
 
 
 Experience explaining complex technical concepts to non-expert audiences
 
 
 
 What Success Looks Like
 
 
 
 You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions
 
 
 Your feedback improves the correctness, robustness, and clarity of AI coding outputs
 
 
 You deliver reproducible evaluation artifacts that strengthen model performance
</div>

Python Developer - Ai Training

Explore 437+ Ai trainer data annotator remote in Washington this March. Find roles across top companies and apply now to boost your career.