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Weekend Ai Data Annotation Jobs in New York (NOW HIRING)

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

Strategic Projects Lead

New York, NY · On-site

$150K - $300K/yr

Own data annotation projects end-to-end, translating complex AI/ML requirements into clear workflows and instructions for annotation teams * Design and refine annotation processes, audit results, and ...

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 ...

Own data annotation projects end-to-end, translating complex AI/ML requirements into clear workflows and instructions for annotation teams * Design and refine annotation processes, audit results, and ...

Our client a global leader in professional information and analytics is seeking an Applied AI Data ... Familiarity with fine tuning techniques and human in the loop annotation workflows. This is an ...

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

You will be responsible for identifying, prospecting, and closing new business opportunities, selling our comprehensive suite of AI data solutions--including data collection, annotation, and ...

... annotation, data labeling, computer vision datasets, or egocentric video. Start Date * Monday morning 17th August (PST) Application Process (Takes 20-30 mins to complete) * Upload resume * AI ...

About Mecka AI Mecka AI is building the data and deployment infrastructure for embodied ... Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation ...

Showing results 21-40

Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are the most commonly searched types of Ai Data Annotation jobs in New York?

The most popular types of Ai Data Annotation jobs in New York are:

What are popular job titles related to Weekend Ai Data Annotation jobs in New York?

For Weekend Ai Data Annotation jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Weekend Ai Data Annotation jobs?

Cities in New York with the most Weekend Ai Data Annotation job openings:

Infographic showing various Weekend Ai Data Annotation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Sourcing Manager, Data Operations

Meta

New York, NY • Remote

$139K/yr

Full-time

Re-posted 25 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 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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