Data Labeling Analyst V

Multimodal Quality Expert Overview
We're seeking skilled Multimodal Quality Experts to serve as training and quality authorities within key multimodal projects. In this expert-level role, you will own quality initiatives end-to-end, drive quality excellence across multimodal data operations, and provide thought leadership that directly influences product quality. We are specifically looking for professionals with exceptional abilities in quality analysis, training development, and domain expertise who can tackle complex, diverse data quality challenges with creativity and independence.

What You'll Do

Quality Analysis & Root Cause Investigation: Identify domain-specific quality misalignments and perform root cause analyses to determine the origin of data deficiencies. Recommend and implement calibration actions to address identified quality gaps.

Training Ownership: Own training initiatives within projects, including creating curricula for Project Manager sign-off, developing golden sets for calibration exercises, and building practice tests and assessment materials.

Peer Training & Mentorship: Lead domain-specific peer training sessions for team members at all levels. Mentor junior team members on project-specific tasks and best practices. Identify training needs and upskilling opportunities within your team.

Guideline Development: Support project guideline creation and iterate on guidelines and quality rubrics based on observed data quality trends. Provide thought leadership to continuously improve quality methodology.

Domain-Specific Readouts: Create domain-specific readouts deploying industry-specific vernacular and frameworks to communicate quality insights and trends to stakeholders.

Quality Metrics & Monitoring: Monitor data quality metrics to ensure consistent, high-quality outputs.

Data Annotation & QA: Maintain superb annotation speed and QA precision while adhering to quality standards. Provide reliable, high-fidelity signal for evaluation and model training.

Cross-Functional Collaboration: Maintain enhanced exposure and collaboration with product and project teams. Support additional tasks to drive program excellence.

What Would Make You A Great Fit

Domain Expertise: Demonstrated deep understanding and expertise in a specific domain relevant to multimodal AI projects, with the ability to apply industry-specific knowledge to quality and training initiatives.

Background: Strong fits for this role include:

Data analysts with quality assurance experience

Quality assurance specialists or leads

Training and development professionals

Annotation specialists with mentorship experience

AI enthusiasts with quality assurance experience

Content moderators or trust & safety specialists with analytical skills and process documentation experience

Editorial professionals with strong attention to detail and consistency

Anyone highly skilled in data quality, training development, and domain expertise

Training & Teaching Abilities: Proven track record of training, teaching, or mentoring others. Experience breaking down complex concepts into digestible and concise findings

Analytical Skills: Exceptional analytical abilities to identify trends, perform root cause analysis, evaluate annotation quality, and provide actionable feedback.

Communication Skills: Strong written and verbal communication skills to effectively convey complex ideas and guidance to internal teams and external partners.

Proactivity & Thought Leadership: Takes initiative to identify issues and opportunities. Provides strategic insights that influence team quality methodology and outcomes.

Collaboration: Proven ability to work collaboratively with cross-functional teams and product partners to achieve shared goals.

Adaptability: Flexibility and willingness to tackle ambiguous problems with creativity and independence in a rapidly evolving environment.

Minimum Requirements
BA/BS degree required; Master’s preferred
Previous annotation quality program experience
Prior annotation experience a plus
Proficiency in data analysis tools and documentation platforms (e.g., Google Sheets, Google Forms) preferred
Teaching experience preferred

What We Offer
Enhanced exposure to product teams and opportunities to shape quality methodology.
The chance to lead training initiatives and mentor team members in a dynamic, fast-paced environment.
If you are passionate about contributing your expertise to revolutionize the world of data quality, we encourage you to apply for this exciting opportunity.

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta

The pay range that Tundra in good faith reasonably expects to pay for this position is $24.96/hour - $31.19/hour.

Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, up to 15 Days PTO per annum and a New Child Benefit.

We would like to thank you for your interest in this opportunity. However, only candidates under consideration will be contacted.

Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment.

This post is for a contract assignment. Assignment duties and duration are subject to business needs and requirements. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.

California Notice: Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation

Meta and Tundra Technical Solutions, its recruiting services provider, use software with artificial intelligence and automated processing features to assist with recruiting for this role, including sourcing and reviewing applications. A recruiter or hiring manager decides which candidates advance.

The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.

At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.

We give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference