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Contract Data Annotation Jobs in Queens, NY (NOW HIRING)

Meta

Sourcing Manager, Data Operations

New York, NY · Remote

$139K/yr

... 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 ...

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 ... documents, contracts, statements of work, and related procurement documents, driving the legal ...

Aston Carter

Paralegal

Manhattan, NY · Remote

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal (100% Remote)

Manhattan, NY · On-site +1

$75/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal

Manhattan, NY · On-site

$125/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal

Manhattan, NY · On-site

$75/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal

Manhattan, NY · On-site

$125/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal

Manhattan, NY · On-site

$75/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal

Manhattan, NY · On-site

$125/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Remote Paralegal

Manhattan, NY · On-site +1

$75/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal

Manhattan, NY · Remote

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal - Remote

Manhattan, NY · On-site +1

$75/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

New

Aston Carter

Paralegal - Remote

Manhattan, NY · On-site +1

$75/hr

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

Aston Carter

Paralegal

Manhattan, NY · Remote

Experience with due diligence, contract management, discovery support, and legal documentation quality assurance. * Comfort working with AI tools, AI training workflows, data annotation, and large ...

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All JobsContract Data Annotation JobsContract Data Annotation Jobs in Queens, NY

Contract Data Annotation information

What is a contract data annotation?

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?

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 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.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. Many positions are available for remote work, often requiring basic computer skills and attention to detail, with some roles offering flexible schedules. Job availability can vary by industry and region, so checking specific job boards is recommended.

Is it hard to get hired for contract data annotation?

Contract data annotation jobs are generally accessible to individuals with basic computer skills and attention to detail. The hiring process often involves completing a skills test or sample annotation task, and some roles may require familiarity with specific tools or platforms. Competition can vary depending on the demand and the company's requirements, but many positions are available for entry-level candidates.

What job categories do people searching Contract Data Annotation jobs in Queens, NY look for?

The top searched job categories for Contract Data Annotation jobs in Queens, NY are:

What cities near Queens, NY are hiring for Contract Data Annotation jobs?

Cities near Queens, NY with the most Contract Data Annotation job openings:

Contract Data Annotation jobs near you
Infographic showing various Contract Data Annotation job openings in Queens, NY 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.

Network Engineer - Data Annotation

New York, NY • Remote

Mercor
See more jobs at Mercorexternal

$50 - $70/hr

Full-time

Posted 14 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify network behaviors, issues, anomalies, and incident patterns.
  • Define schemas and structure for large-scale data pipelines that downstream ML models will train on.
  • Interface directly with the client team to ensure data accuracy and relevance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Current role as a Level 3 / Tier 3 / Principal Support Engineer.
  • Experience with end-customer enterprise networks (switches, APs, firewalls).
  • Proficiency in Wi-Fi/wireless, including Cisco WLC, Aruba, or Meraki.
  • Skills in packet-level troubleshooting using Wireshark, tcpdump, and SPAN captures.
  • Authorization to work in the US or Canada without sponsorship.

Compensation & Legal

  • Individual 1099 contract paid to a personal account.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.