AI Video Annotator (Train AI Models Part Time!)
hackajob · United States
- Hybrid
- Full-time
- $40,000 / year
- United States
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Job highlights
- Label AI-generated video content for a growing company.
- Review video edits, identify issues, and describe defects.
- Analyze footage frame-by-frame for subtle visual issues.
- Rate videos based on criteria and provide clear feedback.
- Part-time, remote role with variable hours.
About the role
About Mercor and hackajob collaboration
hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. Mercor is seeking detail-oriented generalists to review and label AI-generated video content for a fast-scaling generative-video company. This is high-volume, on-demand annotation work — no professional film or editing background required, just a sharp eye, patience, and clear written English. You'll work in continuous batches and get faster and more accurate with the data over time.Key Responsibilities
- Compare AI-generated video edits and data pairs to detect, label, and describe issues and artifacts.
- Step through footage frame by frame to catch subtle visual defects.
- Scan content to surface new or previously unknown failure modes.
- Rate videos against defined criteria such as instruction-following and visual appeal.
- Write clear, well-reasoned notes explaining each judgment (the reasoning field matters).
- Turn work around reliably within defined batch timelines.
Candidate Profile
- A perceptive, detail-oriented eye and the patience to review content frame by frame.
- Clear written English and the ability to explain your reasoning concisely.
- Comfort working with digital video and a general understanding of AI-generated media.
- Reliability and discipline to deliver consistent quality across recurring, on-demand batches.
- No professional film, VFX, or editing experience required — this is a generalist role.
Role Details
- Type: Part-time, ongoing / on-demand batches
- Engagement: Variable hours based on batch volume
- Work arrangement: Remote
Key skills/competency
- AI Video Annotation
- Data Labeling
- Quality Assurance
- Detail-Oriented
- Problem Solving
- Video Analysis
- Content Review
- Communication Skills
- AI Models
- Generative Video
Skills & topics
- AI Video Annotation
- Data Labeling
- Quality Assurance
- Video Analysis
- Content Review
- Remote Work
- Part-Time
- Generative AI
- AI Training
- Annotation Specialist
How to get hired
- Tailor your resume: Highlight attention to detail and clear written communication skills, relevant to AI video annotation.
- Showcase your eye: Emphasize any experience with reviewing content, even if not professional video editing.
- Quantify your reliability: Mention any experience with meeting deadlines or working in batch-oriented environments.
- Address the 'generalist' aspect: Clearly state your comfort with new technologies and ability to learn quickly, as no specific background is required.
- Prepare for the interview: Be ready to discuss your observational skills and how you approach tasks requiring meticulousness.
Technical preparation
Practice frame-by-frame video analysis.,Familiarize yourself with video editing basics.,Understand common AI-generated media artifacts.,Improve your analytical and note-taking skills.
Behavioral questions
Describe a time you found a subtle error.,How do you ensure accuracy in repetitive tasks?,Explain your process for providing detailed feedback.,How do you manage your time for deadlines?
Frequently asked questions
- What is the role of an AI Video Annotator at Mercor?
- As an AI Video Annotator, you will review and label AI-generated video content for Mercor. This involves comparing video edits, identifying issues, and providing detailed written feedback on video quality and adherence to instructions.
- Is any prior experience in film or video editing required for this AI Video Annotator role?
- No, professional film, VFX, or editing experience is not required. Mercor is looking for detail-oriented generalists with a sharp eye, patience, and clear written English.
- What are the typical responsibilities of an AI Video Annotator?
- Key responsibilities include detecting and describing issues in AI-generated video edits, reviewing footage frame by frame, surfacing new failure modes, rating videos against criteria, and writing clear notes explaining your judgments.
- Is this a full-time or part-time position at Mercor?
- This is a part-time, ongoing role with variable hours based on batch volume. It is designed for on-demand annotation work.
- Can I work from anywhere as an AI Video Annotator?
- Yes, this is a fully remote position, offering flexibility in your work location.
- What skills are most important for an AI Video Annotator at Mercor?
- The most important skills are a perceptive, detail-oriented eye, patience for frame-by-frame review, clear written English for concise reasoning, and reliability to deliver consistent quality.
- How will my performance be evaluated as an AI Video Annotator?
- Your performance will be evaluated based on your ability to detect and describe issues accurately, the clarity and reasoning in your written notes, and your reliability in meeting defined batch timelines.
- What does 'on-demand batches' mean for an AI Video Annotator?
- 'On-demand batches' means you will be assigned work as it becomes available. Your engagement will vary based on the volume of annotation tasks Mercor needs completed.
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