Data Science Specialist - Fully Remote

Mercor; Montreal; Remote; CAD 60,000 - 80,000; Part time

Job summary

A technology-focused consulting firm is seeking a Data Science Professional for a freelance, remote role. The ideal candidate has over 3 years of experience in data science and strong proficiency in Python and SQL. Responsibilities include refining AI-generated content and validating technical concepts. Competitive compensation of $80–$120 USD/hr is offered for this role.

Qualifications

• 3+ years of experience in data science, machine learning, or applied statistics.
• Hands-on experience building and deploying machine learning models.

Responsibilities

• Review and refine AI-generated prompts, responses, and code.
• Validate concepts for technical accuracy.
• Provide structured feedback on solution quality and clarity.

Skills

Python

SQL

Data wrangling

Machine learning

Statistical analysis

Education

Degree in Data Science, Statistics, Computer Science, Applied Mathematics

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Overview

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Overview

• Position: Data Science Professional – Freelance, Remote
• Commitment: 15–25 hours/week, flexible up to 40 hours/week
• Duration: 1–2 months
• Support high-impact research collaborations with leading AI labs. Improve AI systems through code validation, prompt refinement, algorithmic evaluation, and model benchmarking.

Responsibilities

• Review and refine AI-generated prompts, responses, and code
• Validate concepts for technical accuracy
• Provide structured feedback on solution quality and clarity
• Tag and organize content by topic and difficulty
• Support benchmarking efforts to assess model capabilities

Requirements / Qualifications

Must-Have Qualifications

• 3+ years of experience in data science, machine learning, or applied statistics
• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field
• Strong proficiency in Python and SQL
• Hands-on experience building and deploying machine learning models using frameworks like scikit-learn, TensorFlow, or PyTorch
• Experience with statistical analysis, data wrangling, and feature engineering on large datasets

Preferred Qualifications

• Advanced degree in a related quantitative field
• Familiarity with R, Java, or Scala

Engagement Details

• Start Date: Immediate
• Compensation: $80–$120 USD/hr, competitive hourly rate based on experience
• Contract: Independent contractor
• Payment: Daily via Stripe Connect
• Schedule: Fully remote and asynchronous

Application Process

• Upload resume
• AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
• Follow-up communication within a few days with next steps and onboarding details

Apply through Mercor to shape frontier AI research.