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Contract Data Annotation Jobs in New York (NOW HIRING)

... AI data annotation and collection vendors * Proactively identify, track, and manage risks and ... Lead contract negotiations that maximize value to the company * Ensure program success through ...

... AI data annotation and collection vendors • Proactively identify, track, and manage risks and ... documents, contracts, statements of work, and related procurement documents, driving the legal ...

Contract Compensation: $15-$20/hour Location: Remote Role Responsibilities * Conduct fact-checking ... Prior experience with RLHF, model evaluation, or data annotation work * Experience writing or ...

Contract Compensation: $15-$20/hour Location: Remote Role Responsibilities * Conduct fact-checking ... Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or ...

Contract Compensation: $15-$20/hour Location: Remote Role Responsibilities * Conduct fact-checking ... Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or ...

Contract Compensation: $15-$20/hour Location: Remote Role Responsibilities * Conduct fact-checking ... Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or ...

Contract Compensation: $15-$20/hour Location: Remote Role Responsibilities * Conduct fact-checking ... Experience with RLHF, model evaluation, or data annotation work * Experience writing or editing ...

Contract Compensation: $15-$20/hour Location: Remote Role Responsibilities * Conduct fact-checking ... Prior experience with RLHF, model evaluation, or data annotation work * Experience writing or ...

Contract Compensation: $80-$110/hour Location: Remote Role Responsibilities * Design challenging ... Preferred * Past experience in AI training , model evaluation, and data annotation. Resources ...

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Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What are the most commonly searched types of Data Annotation jobs in New York? The most popular types of Data Annotation jobs in New York are:
What are popular job titles related to Contract Data Annotation jobs in New York? For Contract Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Contract Data Annotation jobs in New York look for? The top searched job categories for Contract Data Annotation jobs in New York are:
What cities in New York are hiring for Contract Data Annotation jobs? Cities in New York with the most Contract Data Annotation job openings:
Infographic showing various Contract Data Annotation job openings in New York as of July 2026, with employment types broken down into 3% Locum Tenens, 42% Full Time, 35% Part Time, 1% Contract, 18% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
Sourcing Manager, Data Operations

Sourcing Manager, Data Operations

Meta

New York, NY • Remote

$139K/yr

Full-time

Posted 18 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies


Job description

Meta is seeking an experienced Sourcing Manager to join our Strategic Sourcing team, focused on the Data Operations outsourcing programs that power our Gen AI efforts.This is a unique opportunity to partner with teams across Meta and shape the company's growth through effective sourcing solutions.Within Meta's Finance organization, Strategic Sourcing owns end-to-end indirect sourcing, market and spend analysis, contracting, and supplier strategy.As Sourcing Manager, Data Operations, you'll work closely with business and research teams across Meta and its affiliates to develop and execute sourcing, contracting, and purchasing strategies that drive business objectives. This is a fast-moving environment of rapid growth and experimentation, where the ability to pivot quickly is critical.The role supports global programs and requires international travel.
Sourcing Manager, Data Operations Responsibilities:
  • Build collaborative relationships with key stakeholders across Meta to develop, implement, and optimize outsourcing and vendor management solutions for Gen AI data annotation and collection vendors
  • Proactively identify, track, and manage risks and issues across programs
  • Identify, develop, and deploy industry-leading supplier management, procurement, and category management practices
  • Prepare and manage sourcing documents, contracts, statements of work, and related procurement documents, driving the legal, financial, and technical aspects of outsourced programs
  • Lead contract negotiations that maximize value to the company
  • Ensure program success through strong performance management and governance, in partnership with the business
  • Manage complex sourcing projects end to end: planning, execution, measurement, and optimization
  • Collaborate with our Sourcing Category, Contract Management, and Procurement Operations teams, along with cross-functional partners in Compliance, Privacy, Legal, and InfoSec
  • Align regional and local processes to Meta's global operating model, applying established vendor management policies, standards, and practices
  • Build and cultivate strategic relationships with key suppliers. Provide market intelligence and strategic sourcing updates to the leadership
  • Manage, coordinate, and support special projects as needed

Minimum Qualifications:
  • 6+ years of sourcing experience, ideally in tech or AI domains
  • Demonstrated success in negotiating complex contracts and managing vendor relationships
  • Excellent program management skills, with a track record of building successful relationships across business stakeholders, cross-functional groups, and third parties
  • Strong commercial negotiation skills, using multiple levers beyond rate (e.g., volume discounts, quality thresholds, speed to market, service levels)
  • A deep understanding of balancing speed, quality, and cost in sourcing decisions for frontier models in a fast-paced Gen AI environment
  • Proficiency in building and maintaining dashboards and reporting tools to support sourcing decisions
  • Experience using data to drive sourcing and negotiation strategies
  • Experience driving change and improving end-to-end processes
  • Knowledge of the legal, financial, and technical components of outsourcing
  • Experience in managing a global vendor portfolio
  • Experience organizing complex workstreams and solving ambiguous problems by breaking them into structured, actionable steps
  • Proven ability to synthesize complex information into crisp, executive-ready summaries for leadership audiences

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience sourcing annotations for ML/AI model development and/or large language model development
  • Experience in managing high-volume data annotation sourcing programs
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience working in a startup or other dynamic, high-growth company
  • Certification in project management or process improvement methodologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience working with BPOs, crowdsourced/freelance platforms, and boutique data vendors

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$139,000/year to $196,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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