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Reviews video annotations, action labels, and hand-pose data for accuracy, consistency, and completeness. Corrects errors using detailed quality guidelines, evaluates English-language descriptions, documents findings, and provides feedback on recurring issues. The role requires methodical visual review, precise corrections, clear written communication, and independent work in a remote environment. No prior AI experience is required.
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for detail-oriented professionals to review and improve video annotations, action labels, and hand-pose data. The role focuses on checking accuracy, consistency, and completeness across large video datasets, correcting annotation issues, and providing structured feedback according to detailed quality guidelines. No prior AI experience is required.
CONTRACT: Part-time/hourly contractor assignment
LOCATIONS: Remote, GLOBAL
HOURLY RATE: $15-$20/h
Responsibilities
- Review video annotations for accuracy, consistency, and completeness.
- Identify errors or discrepancies in action labels and hand-pose data.
- Correct annotation issues according to established quality standards.
- Evaluate English-language action descriptions and labels.
- Validate hand-pose annotations where required.
- Follow detailed annotation and quality-review guidelines.
- Provide concise written feedback on recurring issues or unclear cases.
- Document corrections and findings in standardized formats.
- Suggest improvements to annotation guidelines when appropriate.
Requirements
- Strong attention to detail and ability to review visual data methodically.
- Experience with video annotation, data labeling, quality review, or a similar structured data task.
- Strong written and reading proficiency in English.
- Ability to follow detailed annotation guidelines consistently.
- Experience working with large datasets or repetitive quality-review workflows.
- Ability to identify inconsistencies and make precise corrections.
- Clear written communication for reporting annotation issues.
- Ability to work independently in a remote project environment.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
