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Intern Data Annotation Tech Jobs in New York (NOW HIRING)

Meta

Sourcing Manager, Data Operations

New York, NY · Remote

$139K/yr

... technologies * Experience sourcing annotations for ML/AI model development and/or large language model development * Experience in managing high-volume data annotation sourcing programs

Meta

Sourcing Manager, Data Operations

New York, NY · On-site

$139K - $196K/yr

... technologies • Experience sourcing annotations for ML/AI model development and/or large language model development • Experience in managing high-volume data annotation sourcing programs • ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Data annotation and quality review. * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Smarsh

Lead Data Scientist

New York, NY

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Segal Group

Intern- Information Technology

New York, NY · On-site

$23/hr

The Intern will assist with various IT related projects including working with the IT Service Desk, assisting with the iPhone replacement project and Data Analytics team support. Key Requirements

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in New York

Intern Data Annotation Tech information

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The hiring process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages varying based on experience, project complexity, and platform. Many entry-level roles pay hourly or per task, and some companies offer full-time or freelance opportunities with competitive rates. Skills in annotation tools and attention to detail can influence earning potential.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve performance in this role.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in New York? The most popular types of Data Annotation Tech jobs in New York are:
What are popular job titles related to Intern Data Annotation Tech jobs in New York? For Intern Data Annotation Tech jobs in New York, the most frequently searched job titles are:
What job categories do people searching Intern Data Annotation Tech jobs in New York look for? The top searched job categories for Intern Data Annotation Tech jobs in New York are:
Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sourcing Manager, Data Operations

Meta

New York, NY • Remote

$139K/yr

Full-time

Posted 29 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 242 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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