DataAnnotation.tech Verified
Remote AI training platform offering flexible data annotation, coding, and STEM projects to help advance artificial intelligence.
What is DataAnnotation.tech?
DataAnnotation.tech is a remote-first AI training platform founded in 2021 and headquartered in New York City. The platform connects freelance contributors with data annotation projects that help train and improve AI systems. Tasks range from standard data tagging and labeling to complex projects requiring subject matter expertise in coding, STEM, multilingual content, and professional fields like law, finance, and medicine. Contributors work as independent contractors with fully flexible schedules, choosing their own hours and projects from a 24/7 available task pool. DataAnnotation.tech is believed to be operated by SurgeAI and emphasizes high-quality data production for advancing artificial intelligence. The platform currently accepts workers from the United States, Canada, United Kingdom, Ireland, New Zealand, and Australia, with plans to expand to additional regions.
Mission & values
Connect the world's most capable minds with meaningful AI work by pairing domain experts with projects that teach models to reason, not just classify.
People first
Fair compensation, transparent task rules and contributor empowerment over assembly-line labeling.
Quality matters
Rigorous review and expert judgment produce the high-signal data that advances frontier AI.
AI safety
Safety and honesty standards are baked into every annotation and feedback workflow.
Global access
Remote-first work open to contributors across 50+ countries and 55+ languages.
Life at DataAnnotation.tech
Qualifications
DataAnnotation.tech uses a tiered qualification system based on project type. For generalist work, a bachelor's degree or equivalent real-world experience is required, along with strong writing and critical thinking skills — no coding experience is needed. Multilingual projects require native fluency in languages beyond English. Coding projects require programming experience in languages such as Python, JavaScript, HTML, C++, C#, or SQL. STEM projects typically require advanced degrees (Master's or PhD) in mathematics, physics, biology, or chemistry, or a bachelor's degree with over 10 years of professional experience. Professional projects require credentials in fields like law, finance, or medicine. All applicants must complete a Starter Assessment to evaluate their aptitude before accessing projects.
Leadership
Hiring process
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1
Create account
Sign up on dataannotation.tech and complete a short profile.
About 1 day
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2
Skills assessment
Take a written/coding assessment that mirrors real project work.
About 2 days
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3
Review & qualification
Submissions are reviewed by DataAnnotation's quality team.
About 7 days
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4
Project matching
Qualified contributors receive invitations to live projects that match their skills.
About 14 days
Funding
Awards & recognition
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Time 100 Most Influential People in AI (Edwin Chen) · 2025
Company information
- Industry: AI Data & Annotation
- Location: New York, USA
- Employees: 100
- Website: www.dataannotation.tech ↗