AI Summary
We're looking for a Computer Vision and Machine Learning Expert to evaluate, improve, and guide AI models that process images, video, and visual data. The role involves evaluating AI-generated outputs, assessing model predictions, and providing expert-level feedback. The ideal candidate has hands-on experience in computer vision and machine learning, with a strong foundational knowledge of deep learning frameworks and architectures.
Key Highlights
Evaluate AI-generated outputs
Assess model predictions
Provide expert-level feedback
Key Responsibilities
Evaluate AI-generated outputs related to image recognition, object detection, segmentation, and visual reasoning tasks
Assess the quality, accuracy, and robustness of computer vision model predictions and outputs
Create, review, and refine training data annotations for computer vision pipelines
Technical Skills Required
Benefits & Perks
Fully remote and flexible work arrangement
Freelance autonomy with the structure of meaningful, task-based work
Potential for ongoing work and contract extension
Nice to Have
MS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning
Published research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)
Job Description
Computer Vision & ML Expert (AI Training)
About The Role
What if your expertise in computer vision could directly shape how the next generation of AI systems perceives, interprets, and understands the visual world? We're looking for Computer Vision & Machine Learning Experts based in Bangalore and across India to evaluate, improve, and guide AI models that process images, video, and visual data — helping build systems that truly see.
This is a fully remote, flexible contract role for practitioners with hands-on experience in computer vision and machine learning. Whether you're a researcher at a top lab, an engineer at a product company, or an advanced graduate student at IISc or IIT, your technical depth will have a direct, measurable impact on AI systems used by millions.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate AI-generated outputs related to image recognition, object detection, segmentation, and visual reasoning tasks
- Assess the quality, accuracy, and robustness of computer vision model predictions and outputs
- Identify failure modes, edge cases, and biases in visual AI systems
- Create, review, and refine training data annotations for computer vision pipelines
- Provide expert-level feedback on model behavior, architecture decisions, and output quality
- Write detailed technical evaluations and suggest concrete improvements
- Work across diverse visual domains — from natural images and medical imaging to autonomous systems and document understanding
- Complete task-based assignments independently on your own schedule
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Strong foundational knowledge of computer vision — object detection, image classification, semantic segmentation, pose estimation, or related areas
- Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Familiarity with common CV architectures (CNNs, Vision Transformers, diffusion models, etc.)
- Comfortable reading and understanding ML research papers
- Solid understanding of data preprocessing, augmentation, and annotation best practices for visual data
- Detail-oriented and systematic in evaluating model outputs
- Clear, concise written communicator who can explain technical concepts effectively
- Self-motivated and reliable when working independently
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- MS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning
- Published research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)
- Experience with 3D vision, video understanding, generative models, or multimodal AI
- Familiarity with MLOps tools, experiment tracking, and model evaluation pipelines
- Background in specialized domains such as medical imaging, remote sensing, robotics, or autonomous driving
- Experience with annotation platforms and data quality workflows at scale
- Proficiency in Python and scientific computing libraries (NumPy, OpenCV, scikit-learn)
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Make a direct, tangible impact on how AI systems perceive and interpret the visual world
- Engage with diverse, challenging problems across multiple visual domains
- Potential for ongoing work and contract extension as new projects launch
- Join a global community of top-tier AI practitioners shaping the future of machine intelligence
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