Data Labeling Analyst II

Background

The analyst will support the development and evaluation of AI and machine learning systems for visual product recognition and commerce experiences across Meta’s platforms. These products will help identify products appearing in images and video and connect them to structured data to enhance the user shopping experience. High-quality human-labeled data is the foundation of this work. It is used to build training sets, create evaluation benchmarks that measure model quality, and audit and improve the structure and accuracy of the model.

Scope of Work

The Data Labeling Analyst will:

• Annotate and classify multimodal content. Label images, video frames, and text to identify products, attributes (category, brand, color, material, style, model/variant), and product boundaries within visually complex scenes.
• Match content to sponsored ads. Determine whether a product shown in content is an exact match, a similar match, or a non-match to a candidate catalog item, and document the reasoning.
• Audit and improve catalog data quality. Review data labels for accuracy, completeness,duplication, mis-categorization, and low-quality attributes; flag and correct issues per guidelines.
• Support evaluation and benchmarking. Produce golden-set labels used to measure model performance, and participate in inter-annotator agreement exercises and calibration sessions.
• Handle ambiguous and edge cases. Apply judgment where guidelines do not give a clear answer, escalate genuine ambiguity, and propose guideline clarifications.
• Research and verify product information via web search. Independently research unfamiliar products, brands, variants, and attributes using Google and other web sources (brand sites, retailers, catalogs) to resolve ambiguity, confirm distinguishing attributes, and ground labeling decisions in verifiable evidence.
• Contribute to guideline development. Identify recurring gaps or contradictions in labeling instructions and help draft, test, and refine updated guidance and taxonomies.
• Maintain throughput and quality targets. Meet agreed volume, accuracy, and turnaround expectations; participate in QA review cycles and act on feedback.
• Adapt across workflows and projects. Onboard quickly onto new labeling tasks, tools, taxonomies,or domains, sometimes with short notice, and re-prioritize as program needs change.

Required Qualifications

Strong Product Background

• Solid e-commerce fluency and the ability to understand how products and services are differentiated across a range of verticals.

E-commerce and product domain knowledge

• Practical familiarity with online shopping and product catalogs, including how products are categorized, described, and differentiated by attributes and variants

Attention to detail

• Strong fluency in fashion and beauty in particular - our highest-volume and most visually nuanced domains. Fashion: current trends, brands and sub-labels, silhouettes, fabrications and seasonal cycles; able to tell a designer piece from its fast-fashion lookalike. Beauty and cosmetics: familiar with how products are described and differentiated, and comfortable telling a shade, a finish and a formulation apart.

General

• Strong written English; able to document decisions clearly and concisely
• Comfortable with spreadsheets and web-based annotation tools; basic data literacy
• Reliable, self-directed, and able to work effectively in a distributed remote team
• Comfortable having research quality assessed (e.g. a short exercise requiring web research on an unfamiliar product to identify key distinguishing attributes and cite sources).
• Education: University degree in social sciences or a related/relevant field preferred.

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 $27

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.

New York Notice: Notice Regarding Automated Employment Decision Tools in New York City

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