AI training contract
Machine Learning Engineer
AI & Machine Learning · USD 80-140 an hour. · 35 openings
Machine Learning Engineer is contract work for micro1, reviewing and correcting what AI models produce in ai & machine learning. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 80 to USD 140 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 35 openings on this role.
Skills named: Python, Machine Learning, MongoDB.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Machine Learning Engineer Role Type: Contractor Location: Remote micro1 is engaging Machine Learning Engineers to contribute expertise to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Scope of Work Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives. Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation. Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions. Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance. Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows. Integrate data pipelines and preprocessing workflows to streamline training and inference processes. Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes. Preferred Qualifications Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects. Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings. Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques. Background in deploying or operationalizing machine learning models in cloud or enterprise environments. Clear written documentation and communication skills for sharing technical findings and best practices. Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting.
All AI training roles we track · Every micro1 opportunity with filters
Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.