Data Labeling Analyst III

Job Title: Data labelling Analyst III

ABOUT THE TEAM:
The Business Compromise team within Meta's Business Integrity org is focused on understanding how fraud and abuse is perpetrated on Meta business products. Our mission is to protect people and businesses who use Meta products by disrupting and preventing abusive networks and behaviors. We focus on new problem identification, early-stage investigation and risk understanding, and mitigation and disruption of sophisticated bad actors. We work closely with partners in Engineering, Data Science, and Product to understand risks and develop mitigations qualitatively and quantitatively — tackling problems including business account takeovers, techniques for scaling harm, recidivism, and circumvention.

JOB SUMMARY:
We are seeking a detail-oriented and analytically minded Business Compromise Analyst to join the Access & Compromise team as a Contingent Worker (Contract). In this role, you will investigate and resolve compromised Business Manager (BM) accounts, conduct root cause analyses into fraudulent behavior, and annotate/label Meta's Large Language Models (LLMs) to improve the accuracy of AI-driven enforcement.

Your day-to-day will involve closing out investigation tickets, performing exploratory root cause analyses, running ad-hoc investigations (e.g., "how many accounts were abused and lost $2K or less?"), and labeling AI model outputs to improve detection accuracy. The impact of your work is substantial — outcomes directly affect the billions of people and businesses who use Meta products.

This is an excellent opportunity for someone who thrives in investigative, data-driven environments and wants to contribute to making Meta a safer place while working with high-level stakeholders and being involved in early data-driven decisions.

KEY RESPONSIBILITIES:
- Compromised Account Investigation: Investigate, review, and resolve Business Manager (BM) compromised accounts as identified by Meta's systems, adhering to defined SLA targets (90-minute initiation, 30-minute to 2-hour resolution depending on case type).
- Root Cause Analysis (RCA): Conduct retrospective deep-dive analyses into the root causes of fraudulent behavior, identifying product vulnerabilities, process gaps, and patterns of abuse.
- Ad-hoc Investigations: Investigate cases and appeals on an ad-hoc basis — analyzing datasets to identify meaningful signals, patterns, and the scope of abuse (e.g., quantifying affected accounts and financial impact).
- LLM Annotation & Labeling: Annotate and label Meta's Large Language Models according to Meta-provided guidelines and parameters, comparing expert labels against new model outputs to improve enforcement decisioning accuracy and reliability.
- Data Analysis: Analyze data to identify trends, patterns, and signals that correlate with fraud and abuse, informing investigation strategies and team priorities.
- Cross-functional Collaboration: Work with engineering, product, and operations teams to communicate findings, inform strategic investment, and develop solutions to mitigate abuse at scale.
- Reporting & Metrics: Contribute to consolidated bi-weekly status reports including team velocity, work completed, work in progress, and performance metrics.
- Process Adherence & Improvement: Follow documented SOPs and decision criteria while identifying opportunities to improve investigation workflows and labeling accuracy.

MINIMUM QUALIFICATIONS:
- 2+ years of experience performing open-ended analysis and developing practical business insights and recommendations in fraud investigation, trust & safety, account security, or a related field.
- 1+ year of experience performing data analysis and building queries/reports with SQL or other tools without dedicated data science support.
- Strong analytical and problem-solving skills with the ability to identify root causes of fraudulent behavior.
- Ability to think critically and qualify assessments with strong documentation and organizational skills.
- Ability to own tasks independently, navigate complex problem areas, and work cross-functionally with little supervision.
- Excellent attention to detail, particularly when applying labeling guidelines and annotation parameters.
- Ability to handle sensitive and confidential information (including PII) with discretion.
- Ability to work within defined SLAs in a fast-paced, dynamic environment.

PREFERRED QUALIFICATIONS:
- BS/MS or equivalent experience in Computer Science, Information Systems, Intelligence Studies, Cybersecurity, Mathematics, or Statistics.
- Demonstrated experience working with Python, PHP, R, SQL, or similar scripting languages for ad-hoc analytical tasks.
- Experience working in online fraud investigations, trust and safety, or cybersecurity.
- Experience with AI/ML data labeling or annotation workflows.
- Familiarity with account compromise patterns, social engineering tactics, or Business Manager ecosystems.
- Experience mitigating time-sensitive escalations.
- Ability to think like the adversary and anticipate threat actors' tactics.
- Ability to work with a team spanning multiple locations/time zones.

EMPLOYEE VALUE PROPOSITION (EVP):
- Impact at scale: Making Meta a safer place for billions of users and businesses.
- Stakeholder visibility: Working directly with high-level stakeholders across Engineering, Data Science, and Product.
- Data-driven influence: Be involved in early data-driven decisions that shape enforcement strategy.
- Growth opportunity: Opportunity to grow skills and take on bigger investigative projects over time.

WORKING CONDITIONS:
- Must be able to work in a fast-paced environment with multiple priorities, adapting to changes and prioritizing competing requests.
- There may be instances requiring meetings and/or work outside prescribed hours to account for collaboration with global teams in different time zones.
- This role involves handling sensitive account data and Personally Identifiable Information (PII) subject to strict confidentiality requirements.
- No access to production environments under this scope.

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 $24.00/hour - $27.00/hour.

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

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.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. 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 applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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.

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta. Please note that this is not a full-time employment opportunity. Candidates selected for this role will be engaged as contractors for the specified duration of the project. For any inquiries regarding the terms of the contract or engagement, please contact Tundra Technical Solutions directly.

Salary : $24 - $27