AlignerrCoding & software eval
Computer Vision & ML Expert
up to $150/hr
About this role, in Alignerr's words
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.
What you'll do
- 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
Show all 8 itemsHide the other 5 in What you'll do
- 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
Candidate background
Who You Are
- 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
Show all 7 itemsHide these 7 items in 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)
Quoted from selected sections of Alignerr's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Alignerr's words
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
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
What You'll Do
* 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
Who You Are
* 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)
Why Join Us
* 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
Working with AlignerrPay, getting started and work, from Alignerr's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Billed weekly, Monday to Sunday, with approved work paid by the following Friday, according to Labelbox's help center. Payment goes through Stripe Connect or PayPal depending on your location, with one provider per country. intercom.help/labelbox/en/articles/13600616-alignerr-paym..., alignerr.com/process
- Before your first paid task
- Sign up, apply, verify your identity, set up billing and onboard. Some jobs add a Zara AI interview or domain assessments. alignerr.com/process
- How much work
- Time to your first project depends on demand and your skills, and there is no minimum number of hours. alignerr.com/faqs
- Contract
- Independent contractor, under terms with ALIGNERR LLC. alignerr.com/faqs, alignerr.com/privacy
Read on the pages linked above on 24 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Coding & software eval roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Alignerr's posting. How we count.
Pay across the field: Coding & software eval
Across 391 roles in this field with a stated hourly rate in US dollars, on 14 platforms, the middle half pays $65 to $120 an hour at the top of the range, and the median is $95. This role's top rate, $150, is in the top quarter. Of the 140 distinct rates we count, 121 are lower and 11 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 136 | $50 to $400 · median $100 |
| micro1 | 44 | $60 to $350 · median $120 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
| Mercor | 33 | $60 to $200 · median $105 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 27 Aug 2026, and still on Alignerr's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- 1738d19f-e8dd-4218-af2d-b979a3b03180
Pay as the source states it: “$100-150/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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