Data Labeling Analyst III

TEKsystems; United States; A distancia; USD 28.000 - 34.000; Jornada completa

Descripción de la vacante

TEKsystems is seeking detail-oriented contractors to support labeling and QA for Large Language Model training focused on Premier Partner Support. You will ensure high-quality labeling accuracy and align with policy guidelines, including account changes and denials.

This contract role offers fully remote work with competitive hourly pay. Experience with data labeling, annotation tools, and clear communication is essential.

Formación

• 4+ years in data labeling or quality assurance.
• Direct experience in operational support with policy guidelines.
• Excellent written and spoken English with strong communication.
• Attention to detail; maintain high accuracy in fast-paced environments.
• Ability to work independently and collaboratively within a team.
• Familiarity with social media platforms and account structures is a plus.

Responsabilidades

• Label and annotate data for LLM training on Premier Partner Support.
• Ensure labeling accuracy and adherence to guidelines and policies.
• Collaborate to create and maintain golden sets for QA and model calibration.
• Identify patterns in support requests to inform model improvements.
• Provide actionable feedback to tooling and engineering teams on workflows.

Conocimientos

Data labeling

Quality assurance

Policy guidelines

Attention to detail

Communication

Independent work

Herramientas

Annotation tools

Scripting basics

Descripción del empleo

Description

We are seeking detail-oriented and skilled contractors to support labeling and quality assurance for Large Language Model (LLM) training focused on Premier Partner Support. The successful candidates will play a critical role in training AI models to detect and understand policy guidelines, with a particular emphasis on account name changes. Your work will ensure high-quality labeling accuracy and consistency, directly impacting the effectiveness of our AI-driven protection systems.

Key Responsibilities

• Perform detailed labeling and annotation of data related to Premier Partner Support, including account change approvals, denials, policy exceptions, and related abuse, to support LLM training.
• Ensure accuracy, consistency, and strict adherence to labeling guidelines and policies.
• Collaborate with internal teams to create and maintain golden sets for quality control and model calibration.
• Identify and report patterns or trends in support requests related to account changes that may indicate policy violations or require exceptions, to inform model improvements.
• Participate in vendor site calibration and quality assurance processes as needed.
• Provide actionable feedback to tooling and engineering teams to improve labeling workflows and annotation tools.
• Communicate effectively with internal stakeholders to align on labeling standards and quality expectations.
• Contribute to process improvements and documentation related to labeling workflows.
• Stay up-to-date with policy changes, labeling guidelines, and industry best practices related to account changes.

Minimum Qualifications

• Experience in data labeling, quality assurance, or related fields (minimum 4+ years).
• Direct experience working in operational support, combined with a strong understanding of policy guidelines is highly relevant.
• Excellent communication skill and perfect English with writing and speaking.
• Strong attention to detail and ability to maintain high accuracy in a fast-paced environment.
• Ability to work independently and collaboratively within a team.
• Familiarity with Facebook platforms, policy enforcement, or integrity problems is a plus.
• Knowledge of social media platforms, account structures, and enforcement policies.

Preferred Qualifications

• Experience with AI/ML model training or data annotation for machine learning.
• Technical skills (e.g., experience with annotation tools, providing feedback to engineering teams, or basic scripting) to support tooling improvements.
• Prior experience working with vendor management or quality calibration.
• Certification or training in content moderation or data labeling.

Working Conditions

• Must be able to work in a fast-paced environment with multiple priorities and deadlines.

Experience Level

Entry Level

Job Type & Location

This is a Contract position based out of Menlo Park, CA.

Pay and Benefits

The pay range for this position is $20.00 - $25.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)

Application Deadline

This position is anticipated to close on Nov 6, 2026.

Workplace Type

This is a fully remote position.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.