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Entry Level Safety Ai Data Trainer Jobs (NOW HIRING)

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/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 ...

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 ...

The Chemours Company

AI & Data Science Intern

... sustainability, and safety in the industry. Powered by chemistry, our products are used in ... The Generative AI & Data Science Intern will work closely with our team to create and deploy ...

BAM Ventures

Medical AI Data Labeling Expert

Manhattan, NY · On-site

$70 - $90/hr

Join our team as a Medical AI Data Labeling Expert to help train cutting-edge AI systems for health ... You will work with medical imagery and patient data to create high-quality training datasets. Key ...

Southland Holdings

Safety Representative

El Paso, TX · On-site

$50K/yr

... an Entry Level Safety Representative in El Paso, TX. We are looking for a motivated individual with the potential to grow into a Safety Manager role through mentorship and hands-on training. The ...

Three Point Solutions

Safety Professional

Waterloo, IA · On-site

Job Summary Entry-level Safety/EHS role supporting workplace safety, ergonomics, injury prevention ... Analyze EHS data and reporting metrics to identify improvement opportunities. * Review equipment ...

Southland Holdings

Safety Representative

El Paso, TX · On-site

$50K/yr

... an Entry Level Safety Representative in El Paso, TX. We are looking for a motivated individual with the potential to grow into a Safety Manager role through mentorship and hands-on training. The ...

Koch Industries

AI Data Analytics Engineer

Lisle, IL · On-site

$112K - $135K/yr

... training for stakeholders. Who You Are (Basic Qualifications) * BS or MS in Computer Science, Data ... Hands-on experience with AI coding agents and agentic development tools (e.g., OpenAI Codex, Claude ...

Nationwide IT Services

$138K - $189K/yr

Support development and sustainment of BI products, analytics solutions, and technical training ... AI-ready data structures. * Strong SQL and Python skills and experience integrating heterogeneous ...

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Entry Level Safety Ai Data Trainer information

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How much do entry level safety ai data trainer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level safety ai data trainer in the United States is $27.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $31.25 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Safety Ai Data Trainer vs Entry Level Data Analyst?

AspectEntry Level Safety Ai Data TrainerEntry Level Data Analyst
Required CredentialsBasic understanding of AI, safety protocols, and data handlingBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI startups, safety-focused organizationsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageAI development teams focusing on safety and complianceData-driven decision making across various sectors

Entry Level Safety Ai Data Trainers focus on preparing and validating AI safety datasets, ensuring AI systems operate safely. Entry Level Data Analysts interpret data to inform business decisions. While both roles require analytical skills, Safety Ai Data Trainers specialize in AI safety data, whereas Data Analysts work across broader data analysis tasks.

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Entry Level Safety Ai Data Trainer jobs near you
Infographic showing various Entry Level Safety Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $56,233 per year, or $27 per hour.

AI Data Engineer

C the Signs

New York, NY • Remote

$117K - $140K/yr

Full-time

Re-posted 20 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.