ZipRecruiter

Log In

2

Remote 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 ...

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 ...

next page

Showing results 1-20

All JobsRemote Annotation JobsRemote Annotation Jobs in Berkeley, CA

Remote Annotation information

See Berkeley, CA salary details

$18

$33

$46

How much do remote annotation jobs pay per hour?

As of Jul 5, 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 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $70,481 per year, or $33.9 per hour.
Strategic Projects Lead

Strategic Projects Lead

HumanSignal

San Francisco, CA • Remote

$75K - $110K/yr

Full-time

Posted 8 days ago

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Level: Individual Contributor
Compensation: $75,000 – $110,000
Location: 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 workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine — responsible for ensuring our clients get the highest-quality data on time, every time.

This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery — and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard — this is the role for you

What You'll Do

The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high — and that's the point.

What You'll Do
  • Own end-to-end execution of multi-million-dollar AI data programs, directly accountable for data quality, throughput, margins, and customer satisfaction
  • Design and manage data pipelines from customer specifications through final delivery, including taxonomy design, quality frameworks, and incentive structures
  • Manage and performance-manage 1,000+ distributed contributors — sourcing, vetting, training, and coaching domain experts at scale
  • Serve as the primary client contact for AI lab researchers: deliver consistent reporting, anticipate needs, and identify opportunities for program expansion
  • Run daily internal war rooms to stay ahead of quality issues, bottlenecks, and delivery risks
  • Partner cross-functionally with Engineering, Product, and Growth to build and improve operational infrastructure
  • Deploy AI automations and data-driven tools to improve output quality and pipeline efficiency
Required Qualifications
  • 2–4+ years in consulting, finance, startups, or operationally intensive roles
  • Strong analytical skills; proficiency in SQL or Python preferred
  • Track record managing complex, cross-functional projects with measurable outcomes
  • Entrepreneurial mindset; comfortable building from scratch in ambiguous environments
  • Exceptional communication skills and client-facing presence
Preferred Qualifications
    • Technical or STEM degree (CS, Data Science, Engineering, or related field)
    • Experience managing distributed workforces or marketplace operations
    • Exposure to AI data, RLHF, or model evaluation workflows
    • Background in investment banking, private equity, or management consulting

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.