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About the Role
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. A leading AI lab is building and evaluating frontier models and needs experienced computer vision practitioners to act as ground-truth experts. You will author challenging, real-world vision tasks, generate reference solutions, and evaluate model outputs to surface reasoning and capability gaps in a target model.
What You'll Do
Task design and development: Design challenging, real-world computer vision problems drawn from your area of expertise (e.g., object detection, segmentation, recognition, multimodal/vision-language reasoning, or image/video generation) that target specific capability gaps in a frontier AI model.
Spec and golden-solution generation: Integrate the problems into an agentic development environment, preparing all necessary components using Python.
Evaluation and analysis: Evaluate the target model's performance on your tasks.
Headroom identification: Identify tasks where the target model fails, and classify the nature of the failure.
Independent contractor engagement, fully remote. Mercor pays weekly via Stripe or Wise.
Common Questions
Mercor has a reliability rating of very reliable based on the listings we track, with an onboarding time of 1-3 weeks (interview + assessment + trial). See our full Mercor review for the details behind that rating.
Applying takes you to Mercor's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
$80-$110/h - Independent contractor engagement, fully remote. Mercor pays weekly via Stripe or Wise.
Task design and development: Design challenging, real-world computer vision problems drawn from your area of expertise (e.g., object detection, segmentation, recognition, multimodal/vision-language reasoning, or image/video generation) that target specific capability gaps in a frontier AI model. Spec and golden-solution generation: Integrate the problems into an agentic development environment, preparing all necessary components using Python. Evaluation and analysis: Evaluate the target model's performance on your tasks.
