AI Evaluation Engineer (Remote) — Bias & Performance

Hire Feed

Biella

Remoto

EUR 79.000 - 132.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

Trasforma questo ruolo in un colloquio — un curriculum e una lettera di presentazione personalizzati in base a ciò che cerca questo datore di lavoro.

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Descrizione del lavoro

Hire Feed is seeking an AI Evaluation Specialist to join our remote team full-time. You will evaluate AI models and datasets, analyze outputs, and document findings against benchmarks to ensure accuracy, reliability, and performance across use cases.

This role offers collaboration with cross-functional teams, development of evaluation frameworks, and generation of detailed reports with actionable recommendations.

Competenze

  • Experience with AI model evaluation, testing and validation.
  • Proficiency in ML frameworks such as TensorFlow or PyTorch.
  • Strong analytical skills to interpret complex data.
  • Familiarity with bias detection and fairness metrics.
  • Excellent written and verbal communication skills.
  • Ability to work independently in a remote environment.

Mansioni

  • Conduct structured evaluations of AI models and datasets against predefined metrics.
  • Identify biases, errors, or inconsistencies in AI outputs and propose improvements.
  • Collaborate with cross-functional teams to refine evaluation criteria.
  • Develop and maintain standardized evaluation frameworks for AI systems.
  • Generate detailed reports with findings, trends, and recommendations.

Conoscenze

AI model evaluation
Analytical thinking
Remote work capability
Excellent communication
Bias detection & fairness
Independent work

Strumenti

TensorFlow
PyTorch

Descrizione del lavoro

Hire Feed is seeking an AI Evaluation Specialist to join our remote team full-time. You will evaluate AI models and datasets, analyze outputs, and document findings against benchmarks to ensure accuracy, reliability, and performance across use cases.

This role offers collaboration with cross-functional teams, development of evaluation frameworks, and generation of detailed reports with actionable recommendations.

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