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Overnight Ai Data Annotation Jobs (NOW HIRING)

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

$168K - $210K/yr

Our data annotation capabilities transform raw, ambiguous data into contextually enriched training ... Data & AI Expertise & Solutioning * Develop and maintain deep expertise across TELUS Digital's Data ...

Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows * Develop full-stack tooling and backend services for large-scale data annotation ...

Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows * Develop full-stack tooling and backend services for large-scale data annotation ...

Develop backend services and full-stack tooling for large-scale data annotation, validation, and ... Familiarity with AI/ML workflows, model training, or benchmarking pipelines * Experience with ...

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ...

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Overnight Ai Data Annotation information

Which 3 jobs will survive AI?

Jobs that require complex human judgment, creativity, and emotional intelligence, such as data annotation specialists like Overnight AI Data Annotators, will continue to be essential. Roles involving critical thinking, strategic decision-making, and interpersonal skills are less likely to be fully automated. Skills in managing AI tools and understanding data are also valuable for future job security.

What is the difference between Overnight Ai Data Annotation vs Data Labeler?

AspectOvernight Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentRemote or on-site; flexible hours, often overnight shiftsRemote or on-site; flexible or daytime shifts
Industry UsageAI and machine learning companies, tech firmsTech companies, data services, AI projects
Search & Comparison IntentCommonly compared for roles involving data annotation tasksOften compared as a related data labeling role

Overnight Ai Data Annotation involves labeling data for AI models, often requiring some technical understanding, while Data Labeler is a broader term for similar tasks. Both roles are essential in AI development, but Overnight Ai Data Annotation typically emphasizes overnight shifts and may involve more specialized tools.

More about Overnight Ai Data Annotation jobs
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What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Overnight Ai Data Annotation jobs? States with the most job openings for Overnight Ai Data Annotation jobs include:
AI Evaluation & Annotation Specialist (Entry-Mid Level) - German (US)

AI Evaluation & Annotation Specialist (Entry-Mid Level) - German (US)

Volga Partners

Remote

$15 - $17/hr

Contractor

PTO

Posted yesterday


Job description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence?
We're looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you'll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency.
No engineering background required - if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit.
This is a hands-on, production-based role where accuracy, focus, and consistency matter.
What You'll Do
  • Review AI-generated responses and rate them for clarity, correctness, and relevance.
  • Annotate and label content based on project-specific guidelines.
  • Follow detailed written instructions and apply them consistently.
  • Generate or evaluate prompts depending on assignment type.
  • Work with QA Leads to apply feedback and continuously improve task quality.
  • Report completed work daily and meet productivity and quality standards.

What Makes You a Strong Fit
  • You're detail-oriented and enjoy accuracy-based work.
  • You can follow instructions carefully and apply them consistently.
  • You're comfortable working independently with minimal supervision.
  • You have strong reading comprehension and critical thinking skills.
  • You communicate clearly and respond to feedback professionally.

Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required - training and guidance is provided.
Schedule & Work Expectations
This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team:
Language
Shift Window (PST)
9:00 AM to 6:00 PM
  • Standard expectation: One consecutive 8-hour shift
  • Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule)
  • Only logged, approved hours are paid.

This project follows a no paid holidays / no paid time off model.
Location Restrictions
We are unable to accept applicants currently residing in:
Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela.
Why Join
• Work with a global team
• Entry point into the growing AI and language technology industry
• Exposure to real-world AI model training
• Skill development in annotation, QA/evaluation, and structured AI tasks
This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles.
Compensation Range
Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD:
$15.00 USD to $17.00 USD per hour
Requirements
Assessment Requirement
All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards.
Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role.
  • Fluency in German, with strong written and verbal communication skills.
  • Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience.
  • Experience or interest in AI, Machine Learning, or data annotation preferred.
  • Strong attention to detail and ability to work with complex data sets.
  • Familiarity with translation and localization processes is an advantage.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.