Machine Learning Expert
Posted 2 days ago
You'll complete your application on Mercor's career site.
About the Role
This platform serves as a hub linking skilled machine learning professionals with teams conducting cutting-edge AI research. As a member of this network, your work serves as a benchmark for evaluating frontier AI systems. This is an ongoing opening for experts interested in specialized AI evaluation and training assignments. Because project demands often arise suddenly, an open roster is kept to quickly identify qualified individuals for specific tasks. Your contribution facilitates the transition of research models into practical applications. Assignments are allocated according to your unique experience and the parameters set by the client. This continuous program ensures that a pre-screened talent pool is available to perform model performance analysis and technical validation as new initiatives launch. Employment is managed on a per-project basis, resulting in variable workloads and responsibilities according to the evolving needs of research teams.
Requirements
- You must have professional-level experience in deploying, evaluating, or training machine learning architectures.
- A proven history of managing models in production settings and overcoming associated real-world obstacles is highly regarded.
- Strong writing abilities are essential, as you will frequently need to document your technical reasoning in detail.
- You must be adept at handling ambiguous project requirements and possess the initiative to point out imprecise instructions or incorrect methodologies.
Responsibilities
- Develop modeling tasks grounded in your past professional experience, including the establishment of datasets, objectives, constraints, and benchmark solutions for evaluation.
- Audit code generated by models for training and testing to confirm correct loss function alignment, identify data leakage, and validate technical findings.
- Serve as a reviewer to pinpoint strategies that might look effective during training but risk failure in production due to factors like label noise, metric misalignment, or distribution shifts.
Benefits & Perks
- Remuneration is determined on a project-by-project basis, with historical hourly rates for similar machine learning engagements ranging from 70 to 120 dollars, contingent upon the complexity and extent of the project.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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