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Data Annotation Part Time Jobs in California (NOW HIRING)

Familiarity with AI or data annotation workflows in a technical setting. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on ...

Familiarity with AI or data annotation workflows in a technical setting. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on ...

San Francisco, On-site Compensation: $25/hour Schedule: Part-time (4-8 hours per day) Duration: 10 ... Prior data labeling or annotation experience If you're detail-oriented, comfortable working with ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Data Annotation Part Time information

What are some common challenges faced by part-time data annotation professionals, and how can they be managed?

Part-time data annotation professionals often encounter challenges such as repetitive tasks, maintaining concentration over extended periods, and understanding nuanced annotation guidelines. To manage these challenges, it's helpful to take regular short breaks, stay organized with clear labeling conventions, and communicate proactively with team leads or project managers when questions arise. Many teams also provide regular training updates and feedback sessions, which support continuous improvement and help annotators stay aligned with project requirements.

What are the key skills and qualifications needed to thrive as a Data Annotation Part Time worker, and why are they important?

To thrive as a Data Annotation Part Time worker, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet software is typically required. Reliability, focus, and the ability to follow guidelines precisely are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which is crucial for training effective AI and machine learning models.

What are Data Annotation Part Time jobs?

Data annotation part time jobs involve labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. This work can include identifying objects in photos, transcribing audio, or categorizing content. Part time positions offer flexible hours and may be remote, making them a popular choice for students or those looking to supplement their income. Attention to detail and the ability to follow guidelines are important skills for these roles.

What is the difference between Data Annotation Part Time vs Data Labeling Specialist?

AspectData Annotation Part TimeData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or office-based; flexible hoursRemote or office; often project-based
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusAnnotating data for training AI modelsLabeling data to improve model accuracy

Data Annotation Part Time and Data Labeling Specialist roles are similar, focusing on preparing data for AI training. The main difference lies in terminology; 'Data Annotation' emphasizes the process, while 'Data Labeling' refers to the task. Both roles typically require similar skills and work environments, making them interchangeable in many contexts.

What are the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What are popular job titles related to Data Annotation Part Time jobs in California? For Data Annotation Part Time jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Part Time jobs in California look for? The top searched job categories for Data Annotation Part Time jobs in California are:
Infographic showing various Data Annotation Part Time job openings in California as of May 2026, with employment types broken down into 1% As Needed, 46% Full Time, 47% Part Time, and 6% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.

Language Model Analyst - Fully Remote | Upto $20/hr Part-time

Mercor

San Francisco, CA • Remote

$20/hr

Part-time

Posted 8 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Generalist - English & Odia
Type: Contract
Compensation: $15–$20/hour
Location: Remote

Role Responsibilities

  • Conduct fact-checking using trusted public sources and external tools.
  • Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies.
  • Assess reasoning quality, clarity, tone, and completeness of responses.
  • Ensure model responses align with expected conversational behavior and system guidelines.

Qualifications

Must-Have

  • Bachelor's degree.
  • Native speaker in Odia.
  • Significant experience using large language models (LLMs).
  • Excellent writing skills in English.
  • Strong attention to detail.
  • Background or experience in domains requiring structured analytical thinking.

Preferred

  • Prior experience with RLHF, model evaluation, or data annotation work.
  • Experience writing or editing high-quality written content.
  • Experience comparing multiple outputs and making fine-grained qualitative judgments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.