Job description
Job details
- Location: UK
- Work mode: Remote
- Employment type: Part-time (Not an internship)
- Salary: GBP 44,338 per year
Role overview
Mercor Ai is seeking a skilled Machine Learning Engineer to join their network of experts. In this role, you will contribute to the training and evaluation of advanced AI models, creating complex tasks based on real-world scenarios to push the boundaries of frontier AI research. This is a part-time, remote position ideal for specialists in ML engineering.
Job details
This is a remote, part-time position based in the UK. This role is not an internship. The compensation for this position is listed at 44,338 GBP, though the raw listing indicates a highly competitive hourly rate for expert contributions.
Responsibilities
- Train and evaluate high-performance AI models in Machine Learning Engineering.
- Develop complex tasks and deliverables based on real-world engineering scenarios.
- Provide expert domain-specific feedback to advance frontier AI research.
- Collaborate on various projects with typical commitments of 15-30 hours per week.
- Implement and refine ML workflows to improve model accuracy and efficiency.
Requirements
- Professional experience in machine learning model development and architecture.
- Advanced proficiency in Python and core ML frameworks such as PyTorch or TensorFlow.
- Proven track record of successful model deployment in production environments.
- Ability to analyze and critique AI-generated outputs for technical correctness.
- Strong theoretical understanding of deep learning and neural network optimization.
Benefits
- Highly competitive hourly compensation.
- Fully remote work flexibility.
- Opportunity to contribute to cutting-edge AI research.
- Flexible part-time schedule.
Keywords
Machine LearningPythonPyTorchTensorFlowModel DeploymentAI TrainingMLOpsDeep Learning