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Remote Data Annotation Jobs in Berkeley, CA (NOW HIRING)

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

All JobsData Annotation JobsRemote Data Annotation JobsRemote Data Annotation Jobs in Berkeley, CA

Remote Data Annotation information

See Berkeley, CA salary details

$11

$38

$85

How much do remote data annotation jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote data annotation in Berkeley, CA is $38.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.60 and $49.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable options.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or tools like labeling software.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are the most commonly searched types of Data Annotation jobs in Berkeley, CA? The most popular types of Data Annotation jobs in Berkeley, CA are:
What job categories do people searching Remote Data Annotation jobs in Berkeley, CA look for? The top searched job categories for Remote Data Annotation jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Data Annotation jobs? Cities near Berkeley, CA with the most Remote Data Annotation job openings:
Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Berkeley, CA as of July 2026, with employment types broken down into 2% Locum Tenens, 32% Full Time, 27% Part Time, 1% Contract, 37% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $79,595 per year, or $38.3 per hour.

Bilingual Language Model Evaluator

Mercor

San Francisco, CA • Remote

$15 - $20/hr

Full-time

Re-posted 4 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 & Urdu
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.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Bachelor's degree.
  • Native speaker in Urdu.
  • 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.