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Ai Llm Data Labeling Jobs (NOW HIRING)

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

C. is looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based ... Snowflake, Databricks, Lakehouse Architectures. • Integrate AI solutions with enterprise data ...

JBS Technologies

AWS/ DATA Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

Agentic AI / LLM Framework Responsibilities * Design and operate data pipelines on AWS -- Glue, Step Functions, Lambda, EventBridge, S3 -- feeding the Redshift data warehouse. * Stand up and operate ...

New

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

Snowflake, Databricks, Lakehouse Architectures. • Integrate AI solutions with enterprise data pipelines and systems. Qualifications : Required : • 8-10 Years of experience in AI/LLM Engineering ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

Research and apply model and supply chain attacks (poisoning, training data extraction, adversarial ... Familiarity with AI/LLM security frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS)

Welo Data

Data Labeling Associate

Bellevue, WA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Redmond, WA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Boston, MA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Burlingame, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Chicago, IL

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

San Francisco, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Austin, TX

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Sunnyvale, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

Welo Data

Data Labeling Associate

Seattle, WA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

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All JobsAi Llm Data Labeling Jobs

Ai Llm Data Labeling information

What is AI LLM data labeling?

AI LLM data labeling is the process of annotating or tagging data—such as text, images, or audio—to provide clear examples that help train large language models (LLMs) like GPT or BERT. This labeled data is essential for teaching models to understand context, intent, and meaning, which improves their performance on various tasks. Data labelers often follow specific guidelines to ensure consistency and accuracy, making their role critical in developing reliable AI systems.

What is the difference between Ai Llm Data Labeling vs Data Annotation Specialist?

AspectAi Llm Data LabelingData Annotation Specialist
CredentialsBasic technical skills, familiarity with labeling toolsSimilar technical skills, often with additional domain knowledge
Work EnvironmentData labeling platforms, remote or office settingsData annotation projects, remote or onsite
Industry UsageAI, machine learning, NLP projectsData preparation across various industries including AI

Ai Llm Data Labeling and Data Annotation Specialist roles both involve preparing data for machine learning models. However, Ai Llm Data Labeling typically focuses on labeling data specifically for large language models, requiring familiarity with NLP and AI tools. Data Annotation Specialists may work across broader data types and industries, with a focus on accurate data tagging. Both roles demand similar skills but differ in scope and application within AI projects.

What are the key skills and qualifications needed to thrive as an AI LLM Data Labeling Specialist, and why are they important?

To thrive as an AI LLM Data Labeling Specialist, you need keen attention to detail, strong analytical skills, and a foundational understanding of natural language processing concepts, often supported by familiarity with data annotation guidelines. Experience with labeling platforms (such as Labelbox or Prodigy), spreadsheet tools, and sometimes proficiency in scripting languages like Python is highly valued. Excellent communication, consistency, and critical thinking are crucial soft skills for interpreting ambiguous data and ensuring labeling accuracy. These skills and qualifications are vital for producing high-quality training data that directly impacts the performance and reliability of large language models.

What are some common challenges faced in AI LLM data labeling and how can they be managed?

One common challenge in AI LLM data labeling is ensuring consistency and accuracy when annotating large volumes of complex language data. Labelers often encounter ambiguous or context-dependent text, making it important to follow detailed guidelines and participate in regular calibration sessions with the team. Collaboration with data scientists and project managers is essential to clarify edge cases and refine labeling criteria. Proactively communicating questions and feedback helps maintain high-quality datasets, which are critical for training reliable language models.
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Ai Llm Data Labeling jobs near you
Infographic showing various Ai Llm Data Labeling job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Data Labeling & Quality Specialist

TPI Global (formerly Tech Providers, Inc.)

Fort Mill, SC • On-site

$15.50 - $20.25/hr

Temporary

Re-posted 14 days ago

Job description


bilingual AI Data Labelling & Quality Specialist
3-6 Months possibility of conversion
Fort mill, SC (Remote role)
About the role:
  • We are seeking a bilingual AI Data Labelling & Quality Specialist to support the development of an AI-assisted sales system for our Home Services business.
  • This includes both a voice agent and tools for human sales agents, designed to deliver highly personalized customer journeys.
  • The ideal candidate will help improve our AI models by labelling ground-truth data, evaluating AI outputs, and providing structured feedback to enhance multilingual performance-in English and Spanish.

Responsibilities
  • Review, label, and categorize customer interaction data (audio and text) to create high-quality training datasets.
  • Evaluate AI/LLM outputs for accuracy, clarity, tone, and compliance with internal guidelines.
  • Provide detailed feedback to improve AI behaviors, dialog flows, and multilingual consistency.
  • Identify patterns, edge cases, and opportunities to increase the effectiveness of English and Spanish customer experiences.
  • Ensure data quality, confidentiality, and adherence to annotation standards.

Qualifications
  • Fluent in English and Spanish (spoken and written) with strong comprehension and communication skills.
  • Prior experience in data labelling, annotation, linguistics, QA, customer support, or AI training.
  • Familiarity with conversational AI, LLMs, or voice agents is a plus.
  • Strong attention to detail and ability to follow structured guidelines.
  • Comfortable working with productivity tools and web-based annotation platforms.
  • Ability to work independently, meet deadlines, and adapt to evolving requirements.

Meet Your Recruiter
Mohit Sharma

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