Remote role designing machine learning and LLM engineering tasks and reviewing AI-written code and experimental methodology. Suits ML engineers with PyTorch or TensorFlow experience and strong evaluation habits.
Sobre a vaga
We are looking for machine learning engineers to help train and evaluate AI models on machine learning and LLM engineering tasks. You will design tasks, review AI-generated ML code and methodology, and write the reference answers that models are measured against.
Key Responsibilities
- Design machine learning and LLM engineering tasks (data pipelines, training and evaluation code, experiment design) with reference solutions.
- Evaluate AI-generated training, evaluation and data-processing code for correctness and efficiency.
- Review experimental methodology, including data leakage, metric choice, baselines and reproducibility.
- Write reference answers and rubrics for machine learning questions at professional depth.
- Compare model outputs and give structured written feedback.
- Document recurring errors in model reasoning about ML concepts.
- Follow project guidelines, take part in calibration and review sessions, and incorporate feedback to keep quality consistent.
Required Qualifications
- Degree in computer science, statistics or a related field, or equivalent experience.
- 3+ years of machine learning engineering or applied ML experience.
- Python with PyTorch or TensorFlow; solid grounding in model training, evaluation and deployment.
- Experience building data pipelines and tracking experiments.
- Fluent written English.
- Reliable, detail-oriented, and able to work independently and meet deadlines in a remote setting.
Preferred Qualifications
- LLM fine-tuning or evaluation experience.
- Published work or strong competition results.
- Experience with distributed training or inference optimisation.
- Prior AI-training or annotation experience.
Legal and Compliance Notice
- All content you submit must be lawful, and you must have the right to share it.
- Do not submit confidential or proprietary material belonging to an employer, client or third party, or personal data without a lawful basis.
- Rex may verify identity, credentials, ownership and licensing; may reject or remove any submission; and may report unlawful submissions to the relevant authorities.
- Engagement and payment are subject to successful verification and to applicable sanctions, export-control, tax and employment laws.
- The contractor agreement will set out ownership and licence terms for the work you deliver (to be confirmed by Rex Legal).
Compensation: USD $75–150 per hour, adjusted by country of residence.
Fonte oficial: portal.rex.zone. Os detalhes podem mudar; vale o que diz a página da plataforma.Algo errado com esta vaga? Avise a gente.
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