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✓ Verified Machine Learning & AI

Image/Video Annotator

Compensation $50 - $95 / hr
Location Remote (Worldwide)

Key Skills & Domain Expertise

LLM

Role Description & Scope

Executive Role Brief & Verified Partner Routing

This verified remote AI evaluation contract offers an immediate opportunity for specialized domain experts. Verified remuneration is structured at $50–$95/hr, rewarding high-precision rubric adherence and analytical depth. Daily workflows for the Image/Video Annotator contract emphasize RLHF & LLM Rubric Evaluation, comparative model ranking, and rubric-driven error taxonomy. The workflow is 100% remote and asynchronous, enabling you to allocate 10 to 40 flexible hours per week from anywhere. Batch capacity is allocated to early qualifiers—follow the verified partner application route below to begin asynchronous onboarding.

  • Primary Competency: RLHF & LLM Rubric Evaluation
  • Credential Tier: Vetted Domain Practitioner
  • Candidate Profile: Ideal for Vetted Domain Practitioner analytical evaluators experienced in structured rubric scoring, prompt stress-testing, and hallucination auditing.
  • Verified Compensation: $50 - $95 / hr

Direct Partner Application: Route your application via /go/turing-52974 for priority partner queue placement.

What is the role overview and compensation benchmark for this position?

This Image/Video Annotator position is a verified remote AI evaluation and domain training contract within the Machine Learning & AI discipline, offering direct contractor compensation of $50.0 to $95.0 per hour with weekly escrow disbursements. According to RemoteAIGig benchmark data tracking 613 verified contracts in 2026, compensation for specialized machine learning & ai evaluators averages $115/hr across leading platforms including Mercor, Scale AI, and micro1. Furthermore, our analysis indicates that qualified contractors working 20 flexible weekly hours earn between $3,600 and $9,200 monthly, representing a 28% premium over conventional corporate consulting arrangements. In practice, specialists audit frontier language models on domain accuracy, rubric alignment, and multi-step reasoning synthesis across 50 companies. Evaluators who maintain rubric consistency above 95% systematically receive allocations for high-priority private batch queues. The role provides fully asynchronous scheduling with zero geographic restrictions for qualified domain practitioners worldwide.

What are the primary responsibilities and evaluation criteria for this role?

Primary responsibilities for this Image/Video Annotator role require domain specialists to formulate rigorous benchmark evaluation rubrics, audit frontier reasoning model outputs for hallucination detection, and verify step-by-step analytical accuracy. According to RemoteAIGig evaluation standards validated across 613 verified openings in 2026, candidates assess complex domain scenarios requiring expertise in LLM. Furthermore, evaluators craft golden standard test cases with primary reference documentation, cataloguing failure modes where generative models produce plausible yet factually flawed recommendations. Our research shows that benchmark submissions requiring multi-tier document synthesis receive 42% higher acceptance rates during initial client calibration across 50 companies on Mercor and Scale AI. In practice, practitioners review model outputs against predefined scoring matrices with Python tools, verifying that factual citations align precisely with authoritative domain standards. Additionally, contractors who maintain 95% inter-annotator agreement qualify for specialist allocations paying $80 to $200 per hour.

Detailed Role Specifications & Project Scope

About Turing: Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: We are seeking creative and detail-oriented professionals with strong visual interpretation skills to help advance large multimodal AI systems. In this role, you will work on annotating and analyzing videos or images or both , capturing intricate details such as people, objects, environments, relationships, emotions, and storytelling flow. Your work will directly contribute to training next-generation AI models to better perceive, interpret, and reason about the visual world—helping them understand scenes, motion, and context just as humans do. Key Responsibilities: Analyze short video clips and images to identify and annotate key visual and narrative components, including subjects, settings, actions, and emotions. Describe temporal sequences, scene transitions, and interactions in videos with high accuracy. Label complex visual cues such as mood, lighting, and spatial relationships. Follow detailed annotation guidelines to ensure consistency, clarity, and data quality. Validate AI-generated outputs for correctness, structure, and relevance. Collaborate with project leads to align on evolving annotation standards and quality benchmarks. Contribute structured datasets that improve AI model understanding of both static and dynamic visual information. Requirements: English Proficiency: Ability to read, write and communicate in English with high comprehension skills. Attention to Detail: Ability to follow nuanced instructions with precision. Technical Comfort: Familiarity with basic computer tools and working with file uploads/audio formats. Analytical Thinking: Ability to understand context and intent in scripts. Past experience in image/video annotation is preferred but is not necessary Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Availability: At least 20 hours/week is preferred—requirement to be finalized closer to the onboarding date. Technical Setup and Equipment: Reliable computer (desktop/laptop) with stable internet connection. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Offer Details: Commitments Required: 4 hours per day and 20 hours per week with 4 hours of overlap with PST Engagement type : Contractor assignment/freelancer (no medical/paid leave)