Bioinformatics Machine Learning Expert
$160-200
/hr
ML engineers are essential for training next-generation AI systems. These roles focus on evaluating ML model outputs, assessing neural network architectures, reviewing deep learning pipelines, and validating training methodologies. You will help AI understand gradient descent, backpropagation, model optimization, and production ML systems. Ideal for ML engineers, research scientists, and AI/ML specialists. Pay: $38-$103/hr.
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Part of: Software Engineering & Coding
25 Jobs
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$50-70
/hr
$10-30
/hr · estimate
$80-100
/hr
$15-25
/hr
$30-50
/hr
$30-40
/hr
$10-20
/hr
$10-20
/hr
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Machine learning expert roles sit at the premium end of the compensation spectrum. You'll evaluate AI-generated explanations of ML concepts, assess the quality of training data curation decisions, review prompt engineering strategies for LLMs, and critique model architecture choices. Tasks might ask: 'Is this fine-tuning approach appropriate for this dataset size?' or 'Does this training loop correctly implement gradient accumulation?' You need to understand backpropagation, loss functions, regularization, overfitting, and evaluation metrics (precision, recall, AUC-ROC). Familiarity with PyTorch or TensorFlow is frequently tested. Many tasks involve reviewing AI reasoning about AI, meta-level work that rewards researchers and ML engineers with deep theoretical foundations.
Most roles require 2+ years of hands-on ML experience with frameworks like PyTorch, TensorFlow, or scikit-learn. A Master's or PhD in ML, CS, or statistics is preferred for the higher-paying roles.
Deep learning (transformers, CNNs, RNNs), reinforcement learning, NLP, and computer vision. MLOps skills (model deployment, monitoring) command premium rates. Generative AI experience is highly valued.
Yes. ML roles focus on model evaluation, training data quality, and algorithmic reasoning, not general software engineering. You need ML-specific knowledge beyond programming fundamentals.
This page is showing 25 listings, sourced from 10 platforms: Mercor (5), AfterQuery (3), Turing (3), Micro1 (3) and Ethos (2). The most recent one was picked up today. The count moves as platforms post and close roles, so treat it as a snapshot of today rather than a fixed figure.
Most sit between $38 and $103 an hour, with a median of $80, measured across the 20 listings on this page that quote an hourly rate. The highest rate currently posted here is $175 an hour. These are the figures the platforms published, not our estimates, and the rate you are offered depends on how you do in that platform's assessment.
Both appear here. 1 listing pays per task or per project rather than by the hour, and the rest quote an hourly rate. Per-task work suits people who are fast and accurate, since your effective hourly rate depends on how long each unit takes you.
Mercor (5), AfterQuery (3), Turing (3), Micro1 (3) and Ethos (2). No single one dominates this category, so it is worth holding accounts on more than one. Most contracts allow you to work through several platforms at the same time.
The roles here fall across 4 areas, led by Software Engineering (13), Data Science (9), STEM (1) and Engineering (1). The requirements named most often are Python and Machine Learning. Each listing spells out its own task type, so read the individual page before applying.
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