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Entry Level Safety Ai Data Trainer Jobs (NOW HIRING)

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Broward Health Corporate ISC Shift: Shift 1 FTE: 1.000000 Summary: Design build and maintain scalable data pipelines for the ingestion processing and transformation of large complex datasets used in

Data Scientist, AI Data Foundations About the Role Reporting into the Data Engineering organization, the Data Scientist is responsible for designing and building the curated data structures that AI

Southland Holdings is currently accepting resumes for highly motivated safety professionals to join our team as an Entry Level Safety Representative in El Paso, TX. We are looking for a motivated

Southland Holdings is currently accepting resumes for highly motivated safety professionals to join our team as an Entry Level Safety Representative in El Paso, TX. We are looking for a motivated

Placement Type: Temporary Salary: $47-51 Hourly W2, Benefits and 401k matching Start Date: Aug 10, 2026 Our media client, partnered with Aquent, is a global leader in the entertainment industry,

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Entry Level Safety Ai Data Trainer information

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$27

$48

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

As of Aug 10, 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.

More about Entry Level Safety Ai Data Trainer jobs
What cities are hiring for Entry Level Safety Ai Data Trainer jobs? Cities with the most Entry Level Safety Ai Data Trainer job openings:
What are the most commonly searched types of Safety Ai Data Trainer jobs? The most popular types of Safety Ai Data Trainer jobs are:
What states have the most Entry Level Safety Ai Data Trainer jobs? States with the most job openings for Entry Level Safety Ai Data Trainer jobs include:
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, 17% Part Time, 2% 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.

Synthetic Data Engineer (AI Data/Training)

Hyphen Connect Limited

Seattle, WA

$130K - $156K/yr

Full-time

Re-posted 18 days ago


Job description

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.

Responsibilities:

  • Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
  • Implement automated quality scoring and de-duplication systems.
  • Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:

  • Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
  • Deep knowledge of prompt engineering for data generation.
  • Familiarity with dataset distillation and bias mitigation.