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alignerr
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Unknown · San Francisco, US
7 open roles2 posted in 7d7 in 30d
Work-life balance 3.0Compensation & benefits 2.3Culture & values 1.8
Hiring: Engineering
What employees say
+ Competitive pay and compensation. Timely payout
− Irregular work and project availability. Highly invasive projects.
More reviews on the company profile.
Interview experience · Senior Software Engineer
Asks about ur experience, more of experience focused. was asked about a specific project and end to end question on that. The problems I faced etc etc. it was okayish
Easy difficulty · India · 1 reports
More interview insightsJob description
Overview
Computer Vision & ML Expert (AI Training)
Responsibilities
- 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
Qualifications
- 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
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.)
- 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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Job application FAQ
Last updated 2 November 2026
- How do I apply for Computer Vision & ML Expert at alignerr?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. alignerr may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Computer Vision & ML Expert role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Computer Vision & ML Expert remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Computer Vision & ML Expert role at alignerr?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.