Posted 9 Aug 2026
Image Generation Machine Learning Expert
This is a remote, project-based role for machine learning researchers and engineers with deep expertise in image generation and generative modeling.
Hiring companyAfterQuery Experts
About the role
You will complete tasks at the frontier of generative AI — including model development, fine-tuning, evaluation, and research tasks applied to diffusion models, GANs, autoregressive image models, and related architectures. This position offers exceptional pay, exposure to cutting-edge generative AI research, and a strong addition to your research portfolio.
Why Apply
- Flexible Time Commitment – Work on your schedule while tackling meaningful research challenges.
- Startup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart.
- Exceptional Pay – Project-based pay ranges from $150–$200/hour.
- Portfolio Building – Gain experience on frontier image generation and generative modeling problems.
- Professional Growth – Sharpen your skills on varied, challenging visual generation tasks and datasets.
Responsibilities
- Design, build, and evaluate state-of-the-art image generation models including diffusion models, GANs, VAEs, and autoregressive approaches.
- Fine-tune and adapt pre-trained generative models for specific domains, styles, and downstream applications.
- Conduct rigorous evaluation of image generation quality using perceptual, statistical, and task-specific metrics.
- Experiment with conditioning mechanisms, guidance techniques, and controllable generation approaches.
- Document methodologies, experimental results, and technical approaches clearly and reproducibly.
Required skills
- Published researcher with at least one first-author publication in a peer-reviewed venue (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, or equivalent).
- Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related quantitative field.
- Demonstrated expertise in image generation, generative modeling, or closely related areas of deep learning.
Preferred skills
- Hands-on experience with leading generative modeling frameworks and architectures (e.g., Stable Diffusion, DALL-E, Imagen, DiT, or similar).
- Familiarity with fine-tuning techniques such as LoRA, DreamBooth, ControlNet, or similar methods.
- Experience with large-scale image datasets and distributed training pipelines.
- Background in TA'ing or teaching computer vision, deep learning, or generative modeling courses.
Schedule details
Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept.
Eligibility
Work arrangement: Fully remote
Compensation details
$150–$200 per hour.
More about the hiring companyAfterQuery Experts
