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Overnight Ai Data Rater Jobs in Washington (NOW HIRING)

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As AI data centers drive a surge in electricity demand, millions of homes and businesses remain ... best rates, and optimizes usage to align with prices in real-time--delivering the same market ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

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Overnight Ai Data Rater information

What is an Overnight AI Data Rater?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

What are some common challenges faced by Overnight AI Data Raters, and how can they be managed?

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

What are the most commonly searched types of Ai Data Rater jobs in Washington?

The most popular types of Ai Data Rater jobs in Washington are:

What cities in Washington are hiring for Overnight Ai Data Rater jobs?

Cities in Washington with the most Overnight Ai Data Rater job openings:

Overnight Ai Data Rater jobs near you

AI, Data Platforms & Responsible AI Governance Lead - R-07B

Washington, DC • On-site

Axyde Analytics
See more jobs at Axyde Analyticsexternal

Other

Posted 15 days ago

Job description

AI, Data Platforms & Responsible AI Governance Lead - R-07B
  • Washington, DC

AI, Data Platforms & Responsible AI Governance Lead - R-07B

Requisition: R-07B

Opportunity: 26-0015 / 1131PL26R0058

Location Anchor: Washington, DC 20001

Work mode: Fully remote / U.S.-based

Travel: Europe/Eurasia as assigned

Engagement: Contingent expert

Role purpose

Lead feasibility and project-scoping analysis for public-sector AI, data platforms, analytics, and responsible-AI governance within Europe/Eurasia digital-infrastructure opportunities. Translate policy goals and incomplete data environments into implementable use cases, architectures, governance controls, procurement requirements, budgets, schedules, and measurable outcomes.

Representative assignment problems
  • Assess data availability, quality, ownership, interoperability, privacy, residency, security, institutional capacity, and public acceptance.
  • Define AI/data-platform alternatives across cloud, data-center, edge, and connectivity environments.
  • Evaluate model purpose, training and inference data, human oversight, explainability, bias, safety, cybersecurity, vendor lock-in, lifecycle cost, and operating capacity.
  • Develop phased roadmaps, pilots, TOR/SOW requirements, budgets, schedules, acceptance tests, and responsible-AI controls.
  • Support digital-government, critical-infrastructure, service-delivery, urban/municipal, geospatial, or cross-border data use cases when assigned.
Responsibilities
  • Own AI/data analysis modules and integrate them with cybersecurity, data-center, connectivity, finance, regulatory, and regional work.
  • Produce evidence-traceable inputs for Preliminary Assessments, Project Reports, TORs, independent budgets, schedules, and the cumulative Final Report.
  • Distinguish proven use cases from speculative vendor claims and document limitations, dependencies, and recovery paths.
  • Define data/model governance, monitoring, incident, human-approval, and independent-review requirements.
  • Participate in remote analysis, stakeholder discovery, quality review, and international travel when assigned.
  • Protect sensitive information and disclose actual, potential, or apparent conflicts.
Minimum evidence-based qualifications
  • 10+ years of relevant data-platform, AI/ML, analytics, digital-government, or technology-governance experience, with dated named projects; the résumé must separately show the duration of direct AI work.
  • Direct responsibility for AI/data feasibility, architecture, governance, deployment roadmap, procurement/TOR/SOW, or implementation decisions—not only software development or tool use.
  • Evidence addressing data quality, privacy, interoperability, model risk, cybersecurity, human oversight, adoption, and measurable outcomes.
  • Public-sector, regulated-infrastructure, international-development, or Europe/Eurasia experience strongly preferred.
  • U.S. citizen or lawful permanent resident; Axyde will request written confirmation but not identity documents during recruiting.
  • Strong written English, independent technical judgment, contingent availability, and international-travel ability.
Evidence to submit
  • Current résumé with month/year dates and exact project responsibilities.
  • Short project list naming client, country, period, data/AI use case, architecture or governance product, and outcome.
  • One nonproprietary example of an AI/data options analysis, roadmap, governance framework, procurement package, or TOR.
  • Current city/state, hourly-rate expectation, availability, travel status, and employment/country/customer/conflict restrictions.
Application questions
  1. 1. Identify three relevant data/AI projects and state the years of direct AI work separately from general IT tenure.
  2. 2. Describe one public-sector or regulated-infrastructure use case and the decision product you led.
  3. 3. Explain how you addressed data quality, privacy/residency, cybersecurity, bias/model risk, human oversight, and vendor lock-in.
  4. 4. Describe one roadmap, procurement package, TOR/SOW, pilot design, or acceptance framework you produced.
  5. 5. Identify Europe/Eurasia countries/languages and international-development experience.
  6. 6. Are you a U.S. citizen or lawful permanent resident? Answer only yes/no/category; do not upload identity documents.
  7. 7. Confirm availability, travel ability, conflicts/restrictions, employer approvals, and rate expectation.
Contingent-opportunity notice

This posting supports a competitive federal proposal. It is not an offer or guarantee of employment, subcontract, hours, travel, award, or assignment. Selection is conditioned on written résumé authorization, evidence review, eligibility, availability, conflict review, rate agreement, proposal strategy, award, and customer direction. Do not submit passports, Social Security numbers, immigration documents, classified/export-controlled information, or customer-proprietary material.

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