Data Scientist Expert (AI Community)

Job summary

Design and run evaluation frameworks to assess AI model accuracy, helpfulness, and safety, and prepare raw text data for large language model training. Analyze and visualize model failures, provide actionable insights for AI training, and develop scripts to monitor the consistency and quality of human-annotated data.

Job details

Click Here to Apply 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. TELUS Digital AI Community Our global AI Community is a vibrant network of more than one million contributors from diverse backgrounds who help customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and contribute to the development of innovative AI technologies used by some of the world's largest brands. Independent Contractor Relationship This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital.

What you’ll do

Design and run evaluation frameworks to assess AI model accuracy, helpfulness, and safety, and prepare raw text data for large language model training. Analyze and visualize model failures, provide actionable insights for AI training, and develop scripts to monitor the consistency and quality of human-annotated data.

Requirements

A bachelor's degree or higher in data science, mathematics, statistics, physics, or a related technical field is required, along with at least B1 English proficiency and native-level fluency in at least one language. Candidates need basic proficiency in Python, SQL, or Excel and must pass a subject-specific qualification exam and complete identity verification.

Benefits

• Flexible Schedule
• Remote Work
• Professional Development
• Global Collaboration

Listed skills

• Data analysis · Preferred
• Python · Preferred
• SQL · Preferred
• Microsoft Excel · Preferred
• Data visualization · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Analysis
• Statistical Analysis
• Model Evaluation
• Data Wrangling
• Python
• SQL
• Excel
• Large Language Models
• Bias Detection
• Data Visualization
• Human-Annotated Data Quality
• Automated Scripting
• AI Training
• Model Accuracy Evaluation
• Model Safety Evaluation

Job areas

• Data & Analytics
• Technology
• Science & Research
• Software