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Remote Annotation Jobs in Berkeley, CA (NOW HIRING)

Aquent

Agentic Judge (Real Estate License)

San Francisco, CA · On-site +1

$29.37 - $32.63/hr

... fully remote role, but candidates must be located in the San Francisco, CA area. This is a ... Develop and maintain annotation guidelines and best practices. * Provide training data to engineers ...

Mercor

Associate Attorney

San Francisco, CA · On-site +1

$55 - $135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

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 ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

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 ...

Planet

Visiting Staff Scientist

San Francisco, CA · On-site +1

... 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 9, 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:
Remote Annotation jobs near you
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.

Senior Network Engineer | Upto $70/hr

Mercor

San Francisco, CA • Remote

$70/hr

Full-time

Posted 13 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: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

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.