$55K - $100K/yr
... 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 ...
$55K - $100K/yr
... 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 ...
$55K - $100K/yr
... 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 ...
Key Responsibilities Must-Haves • Native or Near-Native Japanese required • Willingness to engage in hands-on data work, including annotation and transcription tasks • Demonstrate exceptional ...
Key Responsibilities Must-Haves • Native or Near-Native Japanese required • Willingness to engage in hands-on data work, including annotation and transcription tasks • Demonstrate exceptional ...
$14.01 - $15.86
5% of jobs
$15.86 - $17.71
10% of jobs
$19.46 is the 25th percentile. Wages below this are outliers.
$17.71 - $19.56
11% of jobs
$19.56 - $21.41
2% of jobs
$21.41 - $23.26
17% of jobs
The median wage is $25.11 / hr.
$23.26 - $25.11
5% of jobs
$25.11 - $26.96
10% of jobs
$26.96 - $28.81
11% of jobs
$29.56 is the 75th percentile. Wages above this are outliers.
$28.81 - $30.66
12% of jobs
$30.66 - $32.51
11% of jobs
$32.51 - $34.36
7% of jobs
$14
$25
$34
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.
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.
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.
$55K - $100K/yr
Full-time
Posted 28 days ago
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: $55,000 – $100,000
Location: San Francisco, CA preferred; open to other remote options
HumanSignal Services runs on expert talent — and we need a lot of it, fast. As our high-volume recruiter, you are the engine that keeps our data programs fully staffed with the right contributors at the right time. This isn\'t a post-and-pray recruiting role. You\'ll be proactive, scrappy, and relentless — sourcing, screening, and moving candidates through a pipeline that never stops. When a program needs 500 vetted domain experts in 72 hours, you\'re the one who makes it happen. Speed matters here, but so does quality — the wrong contributor wastes everyone\'s time and hurts the data. You\'ll own both.
What You\'ll DoYou\'ll run high-volume sourcing across multiple channels simultaneously — job boards, LinkedIn, niche communities, referral networks, and anywhere else qualified talent lives. You\'ll screen candidates quickly and accurately, matching domain expertise to program requirements. You\'ll own pipeline health metrics — application volume, time-to-fill, screen-to-hire ratios — and hold yourself accountable to them daily. You\'ll work hand-in-hand with Strategic Project Leads and Operations to understand what each program actually needs, not just what the job description says. When a pipeline dries up or a new program spins up overnight, you don\'t wait to be told — you move. The programs don\'t stop for recruiting, so recruiting can\'t stop either.
HumanSignal Services 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.
Equal Opportunity EmployerHumanSignal 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.
Sourced by ZipRecruiter
Software development
51 - 200 Employees
San Francisco, CA, US
2019