Computer Vision Expert (Train AI Models Part Time!)
hackajob · United States
- Hybrid
- Full-time
- $75,000 / year
- United States
Job highlights
- Develop challenging computer vision tasks for frontier AI models.
- Generate reference solutions and evaluate model outputs.
- Utilize Python for task integration and analysis.
- Identify and classify model failures.
- Part-time, remote role in the US.
About the role
Computer Vision Expert (Train AI Models Part Time!)
hackajob is collaborating with Mercor to connect them with exceptional professionals for this 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.
1. Overview
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. The work centers on designing robust computer vision problems (e.g., detection, segmentation, recognition, vision-language and multimodal reasoning, or generation), building them out with executable tests where applicable, and then analyzing how models and agents behave against them. All applicants are expected to have working proficiency in Python. This is a part-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 20 hours per week.
2. Key Responsibilities
- 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.
- Collaborate with other experts: Work alongside fellow subject-matter experts to keep evaluations consistent and accurate.
3. Core Qualifications
- Deep, hands-on experience in computer vision, from applied industry work, research, or a graduate/PhD background in the field.
- Working proficiency in Python, applied in research, industry, or open-source work (not theoretical familiarity).
- Strong command of modern computer vision methods, including deep learning architectures, evaluation, and standard tooling (e.g., PyTorch/TensorFlow).
- Ability to engage reliably for approximately 20 hours per week.
- Past experience in AI training, model evaluation, or data annotation is preferred.
- Strong written communication and the ability to work independently and manage your own time.
About Cincinnatus LLC
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.
Equal Employment Opportunity
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Key skills/competency
- Computer Vision
- AI Model Training
- Python
- Deep Learning
- Object Detection
- Image Generation
- Generative AI
- Model Evaluation
- Task Design
- Problem Solving
Skills & topics
- Computer Vision
- AI
- Machine Learning
- Python
- Generative AI
- Deep Learning
- Model Training
- Image Recognition
- Object Detection
- Remote Jobs
- Part-Time
- AI Lab
- Expert
- Vision Tasks
- Model Evaluation
How to get hired
- Tailor your resume: Highlight your deep computer vision experience, Python proficiency, and AI training/evaluation background.
- Showcase Python skills: Emphasize practical application in industry, research, or open-source projects.
- Detail model evaluation experience: Provide examples of analyzing model outputs and identifying failure points.
- Address part-time commitment: Clearly state your availability for approximately 20 hours per week.
- Prepare for technical interviews: Be ready to discuss modern computer vision methods and tooling.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for the Computer Vision Expert role at hackajob?
- This is a part-time, fully remote position within the United States, requiring approximately 20 hours per week. You will be employed by Cincinnatus LLC and placed with a leading AI lab.
- What are the primary responsibilities of a Computer Vision Expert?
- Key responsibilities include designing challenging computer vision tasks, generating reference solutions, evaluating AI model performance, identifying model failures, and collaborating with other subject-matter experts.
- What technical skills are essential for this Computer Vision Expert role?
- Essential skills include deep, hands-on experience in computer vision (industry, research, or PhD), working proficiency in Python, and a strong command of modern computer vision methods like deep learning architectures and standard tooling (PyTorch/TensorFlow).
- Is previous experience in AI training or model evaluation required for this role?
- Past experience in AI training, model evaluation, or data annotation is preferred but not strictly required. However, a strong foundation in computer vision and Python is essential.
- What does Cincinnatus LLC provide as an employer?
- Cincinnatus LLC serves as the employer of record, providing W-2 employment, payroll, benefits, and compliance. They ensure structured, role-based positions with client integration, not freelance engagements.
- How does the collaboration with Mercor work for this role?
- Mercor acts as a platform to connect exceptional professionals with companies like the AI lab. While opportunities may be found through Mercor, employment is directly with Cincinnatus LLC.
- What kind of computer vision problems will I be designing?
- You will design problems related to object detection, segmentation, recognition, vision-language and multimodal reasoning, or image/video generation, targeting specific capability gaps in frontier AI models.
- Can I work on this role if I am outside the United States?
- No, this role is fully remote and specifically within the United States.