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Data Annotation Jobs in Merrick, NY (NOW HIRING)

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 ...

Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation methodology, dataset curation, data-centric ML, ground truth design, or labeling-specifications work ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

Data annotation and quality review * Exploratory data analysis and model fail state analysis * Contribute to model governance, documentation, and explainability frameworks aligned with internal and ...

Data annotation and quality review * Exploratory data analysis and model fail state analysis * Contribute to model governance, documentation, and explainability frameworks aligned with internal and ...

Prior experience with RLHF, model evaluation, or data annotation work * Experience writing or editing high-quality written content * Experience comparing multiple outputs and making fine-grained ...

Experience with RLHF, model evaluation, or data annotation work * Experience writing or editing high-quality written content * Experience comparing multiple outputs and making fine-grained ...

Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or editing high-quality written content . * Experience comparing multiple outputs and making fine-grained ...

Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or editing high-quality written content . * Experience comparing multiple outputs and making fine-grained ...

Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or editing high-quality written content . * Experience comparing multiple outputs and making fine-grained ...

Research Engineers, Data

New York, NY · On-site

$150K - $250K/yr

Develop synthetic data, annotation, and feedback-loop strategies to improve system performance in areas where real-world data is sparse or noisy * Analyze customer workflows and datasets to determine ...

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Data Annotation information

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What cities near Merrick, NY are hiring for Data Annotation jobs? Cities near Merrick, NY with the most Data Annotation job openings:
Sourcing Manager, Data Operations

Sourcing Manager, Data Operations

Meta

New York, NY • On-site

$139K - $196K/yr

Full-time

Posted 5 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 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.
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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