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Apprentice Machine Learning Testing Jobs in Columbus, OH

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

JP Morgan Chase

Data Engineer III

Columbus, OH · On-site

$107K - $129K/yr

Build and maintain machine learning operations (MLOps) capabilities for model training, deployment ... Hands-on practical experience delivering system design, data pipeline development, testing, and ...

New

JPMorgan Chase & Co

Data Engineer III

Columbus, OH · On-site

$107K - $129K/yr

Build and maintain machine learning operations (MLOps) capabilities for model training, deployment ... Hands-on practical experience delivering system design, data pipeline development, testing, and ...

New

J.P. Morgan

Data Engineer III

Columbus, OH · On-site

$110K - $132K/yr

Build and maintain machine learning operations (MLOps) capabilities for model training, deployment ... Hands-on practical experience delivering system design, data pipeline development, testing, and ...

New

JPMorgan Chase & Co.

Data Engineer III

Columbus, OH · On-site

$107K - $129K/yr

Build and maintain machine learning operations (MLOps) capabilities for model training, deployment ... Hands-on practical experience delivering system design, data pipeline development, testing, and ...

Aep

AI Security Operations Analyst

Columbus, OH

... testing, penetration testing or other means to ensure controls effectiveness. Leads the ... Nice-to-have * Advanced experience with machine learning, data science or AI applications in ...

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Apprentice Machine Learning Testing information

See Columbus, OH salary details

$10

$18

$27

How much do apprentice machine learning testing jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for apprentice machine learning testing in Columbus, OH is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.43 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Columbus, OH? For Apprentice Machine Learning Testing jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Columbus, OH look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Apprentice Machine Learning Testing jobs? Cities near Columbus, OH with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Columbus, OH • Remote

$50 - $90/hr

Part-time

Posted 11 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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