AI Evaluation Research Engineer — Remote

Truelancer AI

United States

Remoto

USD 83.000 - 124.000

Tempo pieno

14 giorni+

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro

Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Vantaggi offerti da questo lavoro

Flexible remote work
Opportunity to work on frontier AI

Descrizione del lavoro

Truelancer AI is seeking a Research Engineer (RE) Curator to design, implement, and review complex AI evaluation tasks for benchmarking advanced AI systems. The role involves executing ML experiments, analyzing results, and producing reproducible research workflows with Python and notebook tools.

Collaborate with researchers in an iterative environment, document findings, and contribute to high-quality technical reports.

Competenze

  • MSc/PhD or equivalent research-focused experience with coding, experimentation, and data analysis.
  • Experience applying ML/AI methods to research questions with documented results.
  • Strong software engineering practices and ability to work in a research environment.
  • Familiarity with ML pipelines, experiments, and reproducible workflows.

Mansioni

  • Design and implement complex research tasks for evaluating AI systems.
  • Develop solutions using Python and modern software tools.
  • Plan, run, and analyze ML experiments with statistical interpretation.
  • Create reproducible research workflows using notebooks or Colab.
  • Document findings and publish technical reports.

Conoscenze

Strong Python programming
Excellent English communication
Research mindset
Independent work

Formazione

MSc in Computer Science
MSc in Artificial Intelligence
MSc in Machine Learning
Equivalent research-focused experience

Strumenti

Git
VS Code
PyCharm
Jupyter Notebook
Google Colab

Descrizione del lavoro

Truelancer AI is seeking a Research Engineer (RE) Curator to design, implement, and review complex AI evaluation tasks for benchmarking advanced AI systems. The role involves executing ML experiments, analyzing results, and producing reproducible research workflows with Python and notebook tools.

Collaborate with researchers in an iterative environment, document findings, and contribute to high-quality technical reports.

Ottieni la revisione del curriculum gratis e riservata.

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