Data Science Subject Matter Expert – AI Training

Location: Remote
Contract: Initial 4-week contract, with potential for ongoing opportunities
Hours: Minimum 10 hours per week
Schedule: Flexible

The Opportunity

We are seeking experienced Data Science professionals for a fully remote project where you will apply your technical expertise, analytical skills, and professional judgment to specialized work supporting the training and improvement of AI systems.

This opportunity is ideal for data professionals with strong industry, technical, or academic backgrounds who are interested in applying their expertise to emerging technology while maintaining a flexible schedule.

The initial contract is 4 weeks, with the potential for ongoing project opportunities. Candidates must be able to commit a minimum of 10 hours per week, with work completed flexibly throughout the week based on individual availability and project requirements.

What You'll Do

Depending on your background and area of specialization, you may:

• Apply data science and analytics expertise to help train and improve AI systems

• Review and evaluate AI-generated technical reasoning, analyses, and explanations

• Analyze datasets, methodologies, statistical approaches, and technical solutions

• Assess quantitative information for accuracy, logic, relevance, and completeness

• Identify errors, inconsistencies, unsupported assumptions, or flawed analytical reasoning

• Solve quantitative, statistical, and data-driven problems

• Evaluate different approaches to data analysis and problem-solving

• Interpret data, analytical outputs, and technical methodologies

• Develop clear, well-reasoned explanations of technical and quantitative concepts

• Follow detailed project guidelines and quality standards

• Complete work independently while managing your own schedule

What We're Looking For

We're particularly interested in professionals with backgrounds such as:

• Data Scientists

• Data Analysts

• Analytics Engineers

• Professionals from closely related data and quantitative disciplines

Candidates should bring:

• A degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or a closely related quantitative field

• Professional, academic, or research experience involving data analysis, data science, analytics, or quantitative problem-solving

• Strong knowledge of statistical analysis, quantitative methods, and data-driven problem-solving

• Experience working with data and interpreting analytical results

• Proficiency with relevant technical tools such as Python, R, SQL, or similar data and analytics technologies

• The ability to identify errors, unsupported assumptions, or weaknesses in quantitative and analytical reasoning

• Strong analytical and critical-thinking skills

• High attention to detail and accuracy

• Excellent written communication skills

• Familiarity with generative AI tools and an understanding of how human expertise and feedback can be used to train and improve AI systems

• Comfort learning and navigating new technologies and digital platforms

• Comfort working in a remote, self-directed environment

• The ability to commit to a minimum of 10 hours per week

Experience in areas such as statistical modelling, predictive analytics, experimentation, data visualization, machine learning, analytics engineering, optimization, or advanced quantitative analysis is considered an asset.

Why Consider This Opportunity?

• Fully remote project work

• Flexible schedule that can be managed around your existing commitments

• Minimum commitment of 10 hours per week

• Apply your data and analytics expertise to challenging and specialized work

• Gain hands-on exposure to the training and improvement of AI systems

• Apply your technical knowledge, analytical skills, and problem-solving abilities to emerging technology

• Potential for ongoing project opportunities following the initial 4-week contract

Interested?

If you have a strong background in data science or analytics and are interested in applying your expertise to the training and improvement of AI systems, we'd like to hear from you.

Please apply with an up-to-date resume highlighting your education, professional experience, technical skills, and areas of data and analytics expertise.

Qualified applicants will be contacted to discuss the opportunity and next steps.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.