About the role
Role: ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience
Role Overview: We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.
Key Responsibilities: • Work with real-world ML codebases to support MLE Bench–style evaluation tasks • Build, run, and modify model training, evaluation, and inference pipelines • Prepare datasets, features, and metrics for ML benchmarking and validation • Debug, refactor, and improve production-like ML systems for correctness and performance • Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks
Required Skills & Qualifications: • Minimum 3+ years of overall experience as a machine learning engineer or software engineer (ML-focused) • Strong proficiency in Python for machine learning and data workflows • Hands-on experience with model training, evaluation, and inference pipelines • Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization) • Experience working with ML frameworks (e.g., PyTorch, TensorFlow)
More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development and evaluation of frontier AI systems. Candidates will collaborate with top AI researchers and engineers to design and solve challenging real-world ML engineering tasks.
Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
About Hire Feed
HireFeed: A QuikHire product.
Earn in dollars. On your hours. From wherever.
HireFeed is the AI-curated feed of contract, gig, and AI training jobs that pay in USD, built for the people who actually want to work, not the ones writing job descriptions.
Why it exists: the highest-paying contract work in the world - RLHF, AI evaluation, domain-expert training, senior contract engineering, sits scattered across hundreds of ATS feeds and platform job boards. Most of it never makes it to Indeed or LinkedIn, and the roles that do are usually stale by the time you find them. The best opportunities are also the most ephemeral.
HireFeed pulls from 500+ verified sources, including Outlier, Mercor, Surge AI, Micro1, Turing, Toloka, Appen, and Remotasks, and refreshes every 60 seconds. The moment a role closes at the source, it falls off the feed.
What you'll find here:
- AI training, RLHF, and evaluation: $20–$80/hr
- Domain experts: medical, legal, finance, math (PhD)
- Senior contract engineering, paid weekly
- Multilingual annotation, creative writing training, AI research
What you won't find: pay-undisclosed listings, expired roles, "still accepting applications" lies, recruiter middlemen, or data resale. Pay is a hard requirement. Apply links 302-redirect to the source ATS. We never see your résumé.
Free for candidates, forever. Funded by the partner side.
→ hirefeed.co.in
Similar Jobs
About the role
Role: ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience
Role Overview: We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.
Key Responsibilities: • Work with real-world ML codebases to support MLE Bench–style evaluation tasks • Build, run, and modify model training, evaluation, and inference pipelines • Prepare datasets, features, and metrics for ML benchmarking and validation • Debug, refactor, and improve production-like ML systems for correctness and performance • Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks
Required Skills & Qualifications: • Minimum 3+ years of overall experience as a machine learning engineer or software engineer (ML-focused) • Strong proficiency in Python for machine learning and data workflows • Hands-on experience with model training, evaluation, and inference pipelines • Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization) • Experience working with ML frameworks (e.g., PyTorch, TensorFlow)
More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development and evaluation of frontier AI systems. Candidates will collaborate with top AI researchers and engineers to design and solve challenging real-world ML engineering tasks.
Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
About Hire Feed
HireFeed: A QuikHire product.
Earn in dollars. On your hours. From wherever.
HireFeed is the AI-curated feed of contract, gig, and AI training jobs that pay in USD, built for the people who actually want to work, not the ones writing job descriptions.
Why it exists: the highest-paying contract work in the world - RLHF, AI evaluation, domain-expert training, senior contract engineering, sits scattered across hundreds of ATS feeds and platform job boards. Most of it never makes it to Indeed or LinkedIn, and the roles that do are usually stale by the time you find them. The best opportunities are also the most ephemeral.
HireFeed pulls from 500+ verified sources, including Outlier, Mercor, Surge AI, Micro1, Turing, Toloka, Appen, and Remotasks, and refreshes every 60 seconds. The moment a role closes at the source, it falls off the feed.
What you'll find here:
- AI training, RLHF, and evaluation: $20–$80/hr
- Domain experts: medical, legal, finance, math (PhD)
- Senior contract engineering, paid weekly
- Multilingual annotation, creative writing training, AI research
What you won't find: pay-undisclosed listings, expired roles, "still accepting applications" lies, recruiter middlemen, or data resale. Pay is a hard requirement. Apply links 302-redirect to the source ATS. We never see your résumé.
Free for candidates, forever. Funded by the partner side.
→ hirefeed.co.in