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Remote Annotation Jobs in Berkeley, CA (NOW HIRING)

Project Coordinator

Menlo Park, CA · Remote

$20 - $40/hr

Anywhere in the US (Remote) Duration: 6 months Compensation: $20/hr - $40/hr Work Requirements: US ... Advising DLAs on best practice for quality assurance and data annotation * Standardizing DLA ...

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 ...

... and reduce the annotation burden for time-sensitive mapping tasks. * Academic & Technical ... Deep Domain Expertise: 12+ years of experience in remote sensing and satellite image analysis, with ...

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Remote Annotation information

See Berkeley, CA salary details

$18

$33

$46

How much do remote annotation jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote annotation in Berkeley, CA is $33.89, according to ZipRecruiter salary data. Most workers in this role earn between $26.49 and $40.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Annotation position, and why are they important?

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

What job categories do people searching Remote Annotation jobs in Berkeley, CA look for? The top searched job categories for Remote Annotation jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Annotation jobs? Cities near Berkeley, CA with the most Remote Annotation job openings:
Infographic showing various Remote Annotation job openings in Berkeley, CA as of June 2026, with employment types broken down into 49% Full Time, 29% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,481 per year, or $33.9 per hour.
Remote AI Analyst

Remote AI Analyst

Turing

San Francisco, CA • Remote

Other

Posted 4 days ago


Job description

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is required—just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.


About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.


Role Overview :

Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.


Duration of Contract - 10 weeks

Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap


What You'll Do Day-to-Day :

- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.

- Review and document evaluation results, ratings, and observations using Google Sheets.

- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.

- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.


Requirements :

- Must be based in the United States and actively use Google Wallet.

- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.

- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.

- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.

- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.

- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.

- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.