ZipRecruiter

Log In

1

Data Annotation Services Jobs in Commack, NY (NOW HIRING)

Meta

Sourcing Manager, Data Operations

New York, NY · Remote

$139K/yr

... service levels) * A deep understanding of balancing speed, quality, and cost in sourcing decisions ... Experience in managing high-volume data annotation sourcing programs * Demonstrated ability to ...

Meta

Sourcing Manager, Data Operations

New York, NY · On-site

$139K - $196K/yr

... AI data annotation and collection vendors • Proactively identify, track, and manage risks and ... service levels) • A deep understanding of balancing speed, quality, and cost in sourcing ...

Smarsh

Lead Data Scientist

New York, NY

... servicing/managing day to day data requests and analysis. This role also offers a unique ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Smarsh

Lead Data Scientist

New York, NY · On-site +1

... servicing/managing day to day data requests and analysis. This role also offers a unique ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

NBCUniversal

Senior Data Scientist

New York, NY

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... services, genetic information, or any other basis protected by applicable law. If you are a ...

HumanSignal

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... HumanSignal Services operates at the intersection of frontier AI research and large-scale human ...

next page

Showing results 1-20

All JobsData Annotation Services JobsData Annotation Services Jobs in Commack, NY

Data Annotation Services information

How hard is it to get hired by data annotation?

Getting hired for data annotation services typically requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and may not require prior experience, but familiarity with annotation tools and good accuracy can improve chances of employment.

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

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

Does data annotation actually pay you?

Data annotation services typically pay workers for labeling data used in machine learning models. Payment rates vary depending on the platform, task complexity, and experience, with many jobs offering hourly or per-task compensation. Reliable platforms often require basic skills in data handling and attention to detail.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What does a data annotation job do?

A data annotation job involves labeling or tagging data such as images, text, or videos to help train machine learning models. Workers use tools to add metadata, which improves the accuracy of AI systems, often working remotely with flexible schedules and requiring attention to detail. Knowledge of annotation tools and data quality standards is beneficial.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
What job categories do people searching Data Annotation Services jobs in Commack, NY look for? The top searched job categories for Data Annotation Services jobs in Commack, NY are:
What cities near Commack, NY are hiring for Data Annotation Services jobs? Cities near Commack, NY with the most Data Annotation Services job openings:
Data Annotation Services jobs near you
Sourcing Manager, Data Operations

Sourcing Manager, Data Operations

Meta

New York, NY • Remote

$139K/yr

Full-time

Posted 7 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.
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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply