Video Annotation & Data Labeling Specialist - AI Training Project

About the Role

This opportunity involves collaborating on a long-term artificial intelligence data initiative that focuses on converting video content into precise training datasets to support sophisticated AI algorithms. The role includes tasks such as video captioning, segmenting timelines, labeling actions, and verifying AI-produced content. Successful applicants will exhibit meticulous attention to detail, describing only objectively visible information on screen while adhering strictly to annotation standards.

Contributors who excel will gain early eligibility for more complex and better-compensated AI data projects. Comprehensive onboarding and certification programs are provided to ensure applicants understand and meet quality and workflow expectations.

Key Responsibilities

• Craft concise summaries (1-2 sentences) of activity sequences seen in videos using clear and objective English aligned with strict annotation protocols.
• Divide videos into distinct action-based segments with 2-3 segments minimum per assignment, ensuring no gaps or overlaps in timelines.
• Generate labels in simple present tense reflecting only observable actions without inference.
• Review and amend AI-created captions to maintain accuracy and compliance with project criteria.
• Detect and rectify inaccuracies or discrepancies in automatically generated labels.
• Ensure annotation precision that meets or exceeds an 85-90% accuracy benchmark.
• Complete tasks efficiently, aiming for about four minutes to annotate one minute of video footage.
• Employ keyboard shortcuts and approved tools to optimize workflow speed.
• Operate background screen-capture software during task completion.
• Adhere to project procedures, productivity goals, quality requirements, and certification processes.
• Sustain concentration and consistent performance in repetitive, detail-driven annotation tasks.

Required Skills & Qualifications

• Exceptional attention to minute details with the ability to distinguish subtle visual differences.
• Capability to report solely on visually evident actions without making assumptions or interpretations.
• Strong written English with clear, simple, and uniform language for describing actions.
• Ability to meticulously follow detailed guidelines consistently across numerous tasks.
• Commitment to achieving and maintaining high accuracy levels (85-90%+).
• Efficiency in meeting productivity expectations, roughly four minutes per one minute video annotation.
• Comfort with learning and utilizing keyboard shortcuts and structured digital annotation tools.
• Proficiency in running background screen recording software during assignment execution.
• High focus and discipline in managing repetitive and quality-focused activities.
• Capability to work independently within a process-oriented environment.
• Willingness to complete a three-hour onboarding and certification, including training and passing multiple certification tasks under time limits.

Benefits

• Competitive pay ranging from $2.00 to $5.00 per hour depending on verified quality and productivity.
• A one-time $10 certification completion bonus paid via PayPal.
• Access to ongoing paid annotation tasks post-certification.
• Priority eligibility for advanced, higher-paid AI projects based on performance.
• Comprehensive onboarding with training videos, documentation, practice exercises, and certification support.
• Chance to gain practical experience in AI data annotation, video content interpretation, AI model assessment, and quality control.
• Flexible, task-based assignment structure within a sustained AI data project.
• Secure processing of payments through PayPal.

Additional Information

This position is managed by a partner company who handles all applications and subsequent recruitment steps. The hiring process utilizes an AI-powered system to identify top candidates objectively, with final evaluation and communication conducted by the partner's internal team.

Applicants acknowledge data processing in line with relevant privacy regulations, including the use of AI tools to assist the hiring process while ensuring final hiring decisions remain human-driven.