Data Scientist

About The Company

Synthires supports AI research and development by bringing subject-matter expertise into the evaluation and improvement of advanced models. Through this project, data science and quantitative professionals contribute practical insight into how AI systems handle analytical questions, statistical methods, machine learning concepts, and data-driven problem solving. The work focuses on assessing the quality, accuracy, and reasoning behind model-generated responses and helping research teams identify opportunities to improve performance.

Synthires is seeking professionals who can apply sound analytical judgment, recognize methodological strengths and weaknesses, and explain their findings clearly. This remote contractor opportunity is intended for candidates with relevant experience in technology, finance, research, or another related field.

About The Role

As a Junior Data Scientist, you will help evaluate AI-generated work across data science, statistics, machine learning, experimentation, and quantitative reasoning. You will review responses to analytical problems, determine whether the underlying methods and conclusions are valid, and provide structured feedback that can support model development.

The role also involves creating challenging prompts, datasets, and reference solutions. You will help test how well AI systems interpret data, select appropriate analytical techniques, and communicate conclusions. This is a remote, independent contractor engagement with approximately 100 openings. The hourly compensation range is $150–$200, subject to the terms of the engagement and the scope of assigned work.

Qualifications

• At least one year of professional experience at a leading organization in technology, finance, research, or a related field, including some relevant experience within the past three years.
• Strong understanding of Python, statistics, machine learning, and data analysis.
• Practical experience using Pandas and working with data modeling or experimentation.
• Ability to assess quantitative problems carefully and identify errors in analysis, assumptions, or interpretation.
• Clear written communication skills, including the ability to explain technical and statistical concepts to different audiences.
• Based in an English-speaking country and able to work effectively in English.
• A careful, independent approach to reviewing complex material and documenting findings.
  
  

Experience evaluating statistical models, machine learning outputs, or quantitative methods is preferred. Familiarity with experimental design, methodological validation, and data interpretation will also be valuable. Candidates who can develop rigorous datasets and reference solutions for complex analytical tasks are encouraged to apply.

Responsibilities

• Evaluate AI-generated responses involving data science, statistics, machine learning, and quantitative problems.
• Check the accuracy, relevance, and logical consistency of analytical methods and conclusions.
• Create challenging prompts, datasets, and reference solutions that assess model capabilities.
• Identify statistical errors, flawed methodologies, unsupported assumptions, and weaknesses in quantitative reasoning.
• Assess data analysis, experimentation approaches, data interpretation, and modeling techniques.
• Write structured, actionable feedback that clearly explains errors and potential improvements.
• Apply consistent evaluation standards while working independently and meeting project requirements.
  
  

Benefits

This opportunity offers fully remote work and an hourly compensation range of $150–$200. As an independent contractor, you will contribute specialized analytical expertise to an AI research project and help shape the evaluation of emerging AI capabilities. The engagement may suit professionals seeking project-based work that draws on their data science, statistical, and quantitative skills. Approximately 100 openings are available. Contractor status, workload, scheduling, and other engagement terms will be discussed during the selection process.

Equal Opportunity

Synthires welcomes applications from qualified candidates with diverse backgrounds and experiences. Selection is based on relevant qualifications, skills, and the needs of the project. Applicants will be considered without discrimination on the basis of characteristics protected by applicable law.