Generative AI Training Dataset Consultant

Remote

Employer:

Description

Description and Requirements

About Telus Digital

TELUS Digital (NYSE and TSX: TIXT) designs, builds and delivers next-generation digital solutions to enhance the customer experience (CX) for global and disruptive brands.The company's services support the full lifecycle of its clients' digital transformation journeys and enable them to more quickly embrace next-generation digital technologies to deliver better business outcomes. TELUS Digital's integrated solutions and capabilities span digital strategy, innovation, consulting and design, digital transformation and IT lifecycle solutions, data annotation and intelligent automation, and omnichannel CX solutions that include content moderation, trust and safety solutions and other managed solutions. Fueling all stages of company growth, TELUS Digital partners with brands across high growth industry verticals, including tech and games, communications and media, eCommerce and fintech, healthcare, and travel and hospitality. Learn more at: https://telusdigital.com/

Experienced with LLM training methodologies? Eager to put that knowledge to work with leading LLM foundational model builders? Join TELUS Digital AI Data Solutions and help bring the latest generative AI technologies to the next level of performance and accuracy! We're hiring experienced supervised fine-tuning and reinforcement practitioners to work with A-list clients to help shape the future of AI.

Job Description

This is a customer-facing subject matter expert role, consulting with and advising our clients and prospects on optimal Generative AI supervised fine-tuning and reinforcement learning workflows and training datasets. You'll review and advise on annotation guidelines, production workflows, tool specifications, quality assurance methods, and performance metrics. The position is cross-functional, advising our operations and product teams on best practices for pilots and at-scale programs.

Responsibilities

Work with clients and prospects to understand AI training dataset needs
Design task execution workflows for building SFT and RLHF datasets, based on customer and prospect requirements
Develop red teaming methodologies aligned to customer and prospect content policies and business objectives
Specify production workforce profiles that meet project requirements
Establish quality control methodologies that meet quality metric targets
Train project managers in SFT, RLHF and red teaming best practices
Analyzes reporting needs and proactively creates new insights
Support continuous process improvement for operations, workforce sourcing and quality control methodologies

Qualifications / Requirements

BA or BSc in Computer Science, Software Engineering, Machine Learning or related field

5+ years work experience in AI fields, with 1+ years work experience in Generative AI training technologies
Strong client and team communication skills
Exceptional analytical skills
Strong organizational skills including prioritizing, time management, and ability to meet tight deadlines

Location: Remote - US

Compensation:

The base compensation range for this position is $80,000 - $110,000 USD annually commensurate with experience. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, and applicable laws.

TELUS Digital Values:

TELUS Digital recognizes and embraces the importance of values in our ever-changing workplace. To be successful, all candidates must demonstrate behaviours that are reflective of our values:

We passionately put our customers and communities first.
We embrace change and innovate courageously.
We grow together through spirited teamwork.

At TELUS Digital, we are committed to diversity and equitable access to employment opportunities based on ability.

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