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Ai Data Trainer Jobs (NOW HIRING)

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

Lockheed Martin

AI Data Engineer Staff

Fort Worth, TX

$109K - $131K/yr

... model training, feature stores, modelready data delivery). Key Responsibilities Design, develop, test and execute data engineering principles such in SAP HANA, BODS. Design, build, and maintain ...

BHC ISC

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Design build and maintain scalable data pipelines for the ingestion processing and transformation of large complex datasets used in AI model training and inference. Participate in the development and ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

Define and evolve Carrier's AI & Data architecture strategy and roadmap, aligned with business ... Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and ...

eAI

Head of AI & Data

Bodega Bay, CA

$135K - $163K/yr

Build AI agent systems using LLMs and structured financial data ... Define model architecture, training approach, evaluation, and iteration cycles * Improve model ...

eAI

Head of AI & Data

San Francisco, CA · On-site +1

$134K - $162K/yr

Build AI agent systems using LLMs and structured financial data ... Define model architecture, training approach, evaluation, and iteration cycles * Improve model ...

DYNA Robotics Inc

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... Maintain a clear, comprehensive view of where the data lifecycle has gaps, from pre-training ...

Modine Manufacturing Company

Senior AI Data Architect

$68.75 - $92/hr

Vertex AI (including Pipelines, Training, Feature Store, and Endpoints), BigQuery ML, and emerging ... Scalable Data Pipelines: Design robust and scalable ETL/ELT processes to integrate data from ...

Komatsu

Director, AI and Data

Milwaukee, WI · On-site

$193K - $250K/yr

Director, AI and Data Posting Start Date: 2/2/26 Job Location (Short): Milwaukee, Wisconsin, USA ... through job training, skills development and giving back. As a Komatsu employee, you will be ...

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How much do ai data trainer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is an AI Data Trainer job?

An AI Data Trainer is responsible for labeling, annotating, and curating datasets used to train machine learning models. They ensure data quality and relevance by following guidelines to improve model accuracy. Their work involves reviewing AI outputs, providing corrections, and fine-tuning datasets to reduce biases. AI Data Trainers play a key role in enhancing the performance of AI systems across various applications.

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

To thrive as an AI Data Trainer, you need strong analytical skills, attention to detail, and experience with data labeling and annotation, typically supported by a background in computer science or data-related fields. Familiarity with annotation tools, machine learning concepts, and often platforms like Python or specialized data management software is usually required. Excellent communication, adaptability, and a collaborative mindset are valuable soft skills in this role. These qualifications are essential to ensure high-quality, accurate data preparation that directly impacts AI model performance and project success.

What does a typical day look like for an AI Data Trainer?

As an AI Data Trainer, your day often involves carefully reviewing, labeling, and validating large datasets for use in machine learning models. You may work closely with data scientists, engineers, and fellow trainers to ensure data accuracy and resolve ambiguities. The role can also include developing annotation guidelines, providing quality feedback, and occasionally participating in team meetings to discuss process improvements. A typical work environment is collaborative and fast-paced, offering the opportunity to contribute directly to innovative AI projects while continually learning new tools and techniques.

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AI Data Engineer

C the Signs

New York, NY • On-site, Remote

$125K - $150K/yr

Other

Posted 10 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply