Machine Learning Consultant - Thai Speakers

About the Role

TELUS Digital is building a high-impact team of Machine Learning Consultants working alongside Policy Enforcement specialists to provide actionable insights on AI decision-making. As a Machine Learning Consultant, you will analyze, fine-tune, and optimize machine learning models for content moderation and policy enforcement, evaluate nuanced content, provide feedback on AI reasoning processes, and collaborate with policy experts to ensure model outputs align with organizational guidelines.

Responsibilities

• Evaluate and provide feedback on AI model outputs and reasoning (chain-of-thought) for nuanced Trust & Safety cases.
• Perform high-quality content annotations in collaboration with Policy Experts.
• Support supervised fine-tuning and reinforcement learning (RLHF) processes.
• Conduct data analysis to detect patterns, trends, and model weaknesses.
• Produce clear reports and insights for engineering and policy teams.
• Collaborate closely with policy enforcement teams to ensure ML models adhere to guidelines.
• Maintain confidentiality and handle sensitive content responsibly.

Qualifications

• 2+ year experience in AI model supervised fine-tuning or reinforcement learning (RLHF)
• 2+ year experience in Machine Learning operations (MLOps)
• 1+ year experience in User-Generated Content (UGC) moderation / Trust & Safety operations
• Strong data analysis, trend detection, and report writing skills
• Ability to handle gray-area or edge-case scenarios
• Native level + English communication skills
• Detail-oriented with ability to follow complex workflows and guidelines

Assessment

Applicants will complete a subject-specific qualification exam and ID verification to determine suitability for the position.

Payment

Pay rates for experts range from $15 - $25 USD per hour. Payment terms are defined for each project.

Benefits

• 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.
• Hands-on innovation: gain experience in the latest AI research, evaluation, and fine-tuning methodologies.
• Global collaboration and flexible engagement: collaborate across domains and manage your own schedule.

Additional Information

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.