Data Scientist (AI Community) - Remote

Jazmin Par; United States; Remote; USD 28,000 - 69,000; Full time

Benefits offered by this job

Remote work

Global AI community

Hands-on AI research

Flexible engagement

Job summary

TELUS Digital is seeking a data scientist to safeguard the quality of data powering AI. You will design evaluation frameworks to measure model accuracy, safety, and helpfulness across large datasets and perform advanced data-wrangling to prepare training sets for LLMs.

You will detect and visualize trends in model failures, providing actionable insights for ongoing AI improvement, and develop automated scripts to ensure the consistency of human-annotated data across projects.

Qualifications

• Bachelor’s degree in data science, mathematics, statistics, physics, or related field.
• English proficiency at least B1 to communicate data trends.
• Native-level fluency in at least one language.
• Basic proficiency in data manipulation (Python, SQL, or Excel).

Responsibilities

• Architect and execute evaluation frameworks for model accuracy, helpfulness, and safety.
• Perform data-wrangling to transform raw text into training sets for LLMs.
• Detect and visualize trends in model failures, guiding AI training.
• Develop automated scripts to monitor the quality of human-annotated data.

Skills

English proficiency

Language fluency

Education

Bachelor's degree in a technical field

Tools

Python

SQL

Excel

Job description

At TELUS Digital, data is the lifeblood of our innovation, and as an data scientist, you are the guardian of its quality. We don't just process data; we interrogate it. You will perform rigorous diagnostic testing on model performance to uncover hidden biases, identify performance "plateaus," and provide the statistical evidence we need to push AI "intelligence" to the next level.

Key Responsibilities:

• Architect and execute evaluation frameworks to measure model accuracy, helpfulness, and safety across massive datasets.
• Perform advanced data-wrangling to transform raw text into optimized training sets for Large Language Models (LLMs).
• Detect and visualize complex trends in model failures, providing actionable insights that guide the next phase of AI training.
• Develop automated scripts to monitor the consistency of human-annotated data, ensuring the quality standards of TELUS Digital are met.

Qualification path

Mandatory Qualifications:

• Education: Minimum of a Bachelor’s Degree in Data Science, Mathematics, Statistics, Physics, or a related technical field.
• English Proficiency: Minimum B1 (Intermediate) level English to communicate data trends.
• Language: Native-level fluency in at least one language.
• Technical Skills: Basic proficiency in data manipulation (e.g., Python, SQL, or Excel).

Assessment:

In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.

Payment:

Currently, pay rates for experts range from $20 - $50 USD per hour

Our Payment terms are defined for each project.

Why Join the TELUS Digital AI Community:

• Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
• Impactful Expertise: Use your native language and academic degree to shape real‑world AI systems and products used by millions every day.
• Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine‑tuning methodologies.
• Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
• Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.

Equal Opportunity:

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity