Junior Data Scientist – Remote

Junior Data Scientist – Remote

Full-Time 121500 - 148500 $ / year (est.) Remote
O

At a Glance

  • Tasks: Review AI-generated answers and provide feedback to enhance model accuracy.
  • Company: Join OpenTrain AI, a forward-thinking company in the AI space.
  • Benefits: Flexible remote work, competitive pay, and opportunities for skill development.
  • Other info: Exciting role with potential for growth in the AI industry.
  • Why this job: Make a difference in AI by improving its analytical capabilities.
  • Qualifications: Knowledge in data science, statistics, and strong analytical skills.

The predicted salary is between 121500 - 148500 $ per year.

Open Train AI, Inc. is seeking a self-motivated reviewer to assess AI-generated answers across data science, statistics, ML, experimentation, and quantitative reasoning.

You will identify flawed methods, statistical errors, and unsupported conclusions.

You will also create prompts and datasets for testing analytical reasoning, develop reference solutions, and write structured feedback to improve model accuracy and usefulness.

#J-18808-Ljbffr

Junior Data Scientist – Remote employer: OpenTrain AI, Inc.

OpenTrain is an exceptional employer for those passionate about personal finance and AI, offering a flexible part-time role that allows you to leverage your expertise while contributing to the evolution of financial guidance. With a strong emphasis on professional growth, a collaborative work culture, and competitive pay, employees are encouraged to refine their skills and make a meaningful impact in the field of Canadian finance. Located in Canada, this position provides unique opportunities to engage with cutting-edge technology while ensuring the highest standards of privacy and security.

O

Contact Details:

OpenTrain AI, Inc. Recruitment Team

We think you need these skills to ace Junior Data Scientist – Remote

Data Science
Statistics
Machine Learning (ML)
Experimental Design
Quantitative Reasoning
Analytical Thinking
Attention to Detail