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Meta Data Labeling Jobs (NOW HIRING)

Leapros Skilled Trades

Network Technicians

Montgomery, AL · On-site

$29 - $35/hr

Maintain precise documentation for cable labeling, port mapping, and rack layouts. * Support the ... Previous professional experience working at a META data center site (required for all traveling ...

New

BrightAI

Senior Computer Vision/AI Engineer

Palo Alto, CA · Remote

$123.20K - $169.10K/yr

... Meta. We are now hiring a Senior Computer Vision / AI Engineer to help shape the future of real ... Full-stack ML development lifecycle experience: data labeling and curation, model training ...

Reflection AI, Inc

Data Governance Lead

New York, NY · On-site

Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta ... labeler provenance, and data quality so we can satisfy auditors, enterprise customers, and ...

INSPYR Solutions

Project Coordinator IV

Menlo Park, CA · On-site

$40 - $60/hr

... Meta's products through data-driven decision making and technical tooling. We are looking for ... rigor Labeling and LLM Training across all orgs Minimum Qualifications 8+ years of relevant ...

Fireworks AI

Security Engineer

San Mateo, CA · On-site

We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google ... or data labeling pipelines. * Experience designing detection engineering pipelines across cloud ...

Fireworks AI

Security Engineer

San Mateo, CA

We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google ... or data labeling pipelines. * Experience designing detection engineering pipelines across cloud ...

Crosby

Legal Staff

New York, NY · On-site

$175K - $225K/yr

Our team is made up of of talent from Harvard, Stanford, UPenn, Columbia, Ramp, Meta, Cooley ... You will test the limits of generative AI with prompting, fine tuning, and data labeling. You will ...

C R O S B Y

Legal Staff

Manhattan, NY · On-site

Our team is made up of of talent from Harvard, Stanford, UPenn, Columbia, Ramp, Meta, Cooley ... You will test the limits of generative AI with prompting, fine tuning, and data labeling. You will ...

Instagram

Product Content Engineer

New York, NY · On-site +1

$162K/yr

... content labeling and analysis * Experience designing and implementing evaluation frameworks ... BA or BS in Computer Science, Data Science, Linguistics, or related field About Meta: Meta builds ...

Instagram

Product Content Engineer

San Francisco, CA · On-site +1

$162K/yr

... content labeling and analysis * Experience designing and implementing evaluation frameworks ... BA or BS in Computer Science, Data Science, Linguistics, or related field About Meta: Meta builds ...

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Meta Data Labeling information

What are the key skills and qualifications needed to thrive as a Meta Data Labeling Specialist, and why are they important?

To thrive as a Meta Data Labeling Specialist, you need strong attention to detail, data literacy, and familiarity with data annotation principles, often supported by a background in computer science or related fields. Proficiency with data labeling platforms, annotation tools, and sometimes basic programming or scripting is typically required. Excellent communication, consistency, and problem-solving skills help ensure accuracy and effective collaboration with data science teams. These skills are crucial for producing high-quality labeled data, which is foundational for training reliable machine learning models.

What are some common challenges faced by professionals in Meta Data Labeling roles, and how can they be addressed?

Professionals in Meta Data Labeling often encounter challenges such as handling large volumes of data, maintaining consistency in labeling, and adapting to evolving project guidelines. To address these, it’s important to follow clear labeling protocols, regularly communicate with team leads or project managers, and participate in quality assurance checks. Collaborative tools and regular feedback sessions can also help ensure accuracy and stay aligned with project objectives, making teamwork and adaptability essential skills in this environment.

What is meta data labeling?

Meta data labeling is the process of assigning descriptive tags or labels to data, such as images, text, or videos, to make it easier for machine learning models to understand and process the information. This task is crucial for training artificial intelligence systems, as labeled data helps algorithms learn to identify patterns and make accurate predictions. Meta data labeling can involve categorizing objects, annotating features, or adding contextual information, depending on the specific needs of the project. Accurate labeling ensures that AI systems perform reliably and efficiently.

What does a data labeling analyst do at Meta?

A data labeling analyst at Meta is responsible for reviewing and annotating data such as images, videos, and text to improve machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a collaborative environment with quality control measures.

What is the difference between Meta Data Labeling vs Data Annotator?

AspectMeta Data LabelingData Annotator
Primary FocusLabeling metadata such as tags, categories, or attributes for data setsAnnotating raw data like images, text, or audio for training AI models
Skills & CertificationsBasic understanding of data structures, attention to detailStrong annotation skills, familiarity with annotation tools
Work EnvironmentData labeling platforms, remote or office-basedAnnotation tools, remote or office-based
Industry UsageData management, AI training, machine learningAI development, machine learning, data science

Meta Data Labeling involves assigning descriptive tags or attributes to data, helping organize and categorize datasets. Data Annotator focuses on marking or labeling raw data to train AI models. While both roles support AI and machine learning, Meta Data Labeling emphasizes metadata management, whereas Data Annotator concentrates on raw data annotation.

Infographic showing various Meta Data Labeling job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Network Technicians

Leapros Skilled Trades

Montgomery, AL • On-site

$29 - $35/hr

Contractor

Medical, Dental, Vision

Posted yesterday

Job description

Leapros Skilled Trades is actively hiring Network Technicians in Montgomery, AL. The Network Technician is responsible for the professional installation and maintenance of ISP network infrastructure, focusing on high-density rack and stack operations. The ideal candidate will possess specialized expertise in passive optical network (PON) or channel testing and have a proven track record of working on hyperscale data center projects.

Job Type: Contract

Pay: $29 to $35 Per Hour BOE

Responsibilities:

  • Execute the physical installation of network hardware, including switches, routers, and patch panels within server racks.
  • Perform comprehensive passive optical network (PON) testing to verify signal integrity and network performance.
  • Conduct detailed channel testing for both fiber and copper network connections.
  • Manage the routing and organization of cabling within network distribution points and server racks.
  • Troubleshoot and resolve complex network connectivity issues, signal degradation, and hardware failures.
  • Maintain precise documentation for cable labeling, port mapping, and rack layouts.
  • Support the deployment and integration of new ISP network services and infrastructure expansion.
  • Adhere to strict safety protocols and industry best practices for network hardware handling and installation.

Qualifications:

  • Proven experience with 'Rack and Stack' procedures in an ISP or data center environment.
  • Demonstrated proficiency in passive optical network (PON) testing or channel testing.
  • Previous professional experience working at a META data center site (required for all traveling candidates).
  • Must be fluent in English with strong verbal and written communication skills.
  • Strong technical knowledge of network infrastructure components and cabling standards.
  • Experience working on large-scale deployment projects within hyperscale environments.

Physical Requirements:

  • Must be able to lift and carry up to 50 pounds independently.
  • Must be able to work at heights and perform tasks from a ladder or elevated platform.
  • Ability to stand, bend, stoop, and kneel for long durations during equipment installation.
  • Must be able to see and distinguish between various color-coded cables and fibers.
  • Ability to work in confined spaces and around active data center equipment.

Pay Transparency:

The anticipated pay range for this position is $29 to $35 per hour, based on relevant factors such as experience, skills, education, internal equity, and geographic location. Final compensation will be determined during the interview process by the hiring authority.

Benefits Summary:

We offer a comprehensive benefits package that includes:

  • Medical, dental, and vision insurance
  • Paid Sick Time
  • Employee assistance programs (EAP)

Leapros serves a tight community of proven, skilled tradespeople. As a team member, you are treated with the respect which your value has earned you. This means competitive pay, consistent work, a safety culture that starts at the top, and safety training.

We are committed to our core values and guiding ethical principles, to conducting business in a non-discriminatory manner, and to operating in strict compliance with applicable federal and state laws pertaining to Equal Employment Opportunity. To learn more about Leapros visit our website at www.leapros.com.

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