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Part Time Ai Trainer information

What is a part time AI trainer?

Part time AI trainers are professionals who work on a flexible or reduced-hour basis to help train artificial intelligence systems. Their responsibilities often include reviewing and labeling data, evaluating AI model outputs, and providing feedback to improve machine learning algorithms. These roles are essential for ensuring that AI systems learn accurately from real-world examples. Part time AI trainers may work remotely and contribute expertise in various fields such as language, image recognition, or customer service. This job is ideal for individuals seeking flexible work schedules and opportunities to contribute to the advancement of AI technology.

What does a typical workday look like for a part time AI trainer, and how flexible are the hours?

As a Part Time AI Trainer, your day often involves reviewing, labeling, and providing feedback on data to help improve artificial intelligence models. The tasks are typically project-based and can include annotating images, transcribing audio, or evaluating AI-generated responses. One of the advantages of this role is the flexibility; many companies allow trainers to set their own hours, making it ideal for those balancing other commitments. You’ll usually collaborate with remote teams through online platforms and communicate via chat or email, ensuring that updates and guidance are always accessible. This structure supports independent work while still providing support and direction from team leads.

What are the key skills and qualifications needed to thrive as a part time AI trainer, and why are they important?

To thrive as a Part Time AI Trainer, you need strong analytical skills, attention to detail, and a background in language, data annotation, or relevant subject matter expertise. Familiarity with annotation platforms, AI training tools, and sometimes basic programming or data management systems is often required. Excellent communication, critical thinking, and the ability to work independently are valuable soft skills in this role. These competencies ensure high-quality data labeling and feedback, which are crucial for training reliable and accurate AI systems.

What is the difference between Part Time Ai Trainer vs Data Annotator?

AspectPart Time Ai TrainerData Annotator
CredentialsBasic technical skills, training in AI toolsMinimal formal credentials, attention to detail
Work EnvironmentRemote or office-based, collaborativeRemote or on-site, focused on data labeling
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Search/Comparison IntentUnderstanding roles in AI trainingClarifying data labeling tasks

While both roles support AI development, Part Time Ai Trainers focus on training AI models through interactive tasks and feedback, whereas Data Annotators primarily label and prepare data for AI systems. The roles often overlap but differ in scope and responsibilities within the AI industry.

What are the most commonly searched types of Ai Trainer jobs in Ohio?

The most popular types of Ai Trainer jobs in Ohio are:

What are popular job titles related to Part Time Ai Trainer jobs in Ohio?

For Part Time Ai Trainer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Part Time Ai Trainer jobs in Ohio look for?

The top searched job categories for Part Time Ai Trainer jobs in Ohio are:

What cities in Ohio are hiring for Part Time Ai Trainer jobs?

Cities in Ohio with the most Part Time Ai Trainer job openings:

Part Time Ai Trainer jobs near you
Infographic showing various Part Time Ai Trainer job openings in Ohio as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

AI/ML Engineer, Senior

Dayton, OH • On-site, Remote

Booz Allen Hamilton, Inc.
IT Services • 10K+ employees

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students

Learn more about Booz Allen Hamilton, Inc.external

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago

Job description


Remote Work:
No
Job Number:
R0242678
Location:
Dayton,OH,US
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AI/ML Engineer, Senior
The Opportunity:
As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.
Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role definitions. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned with Booz Allen's AI modernization approaches.
What You'll Work On:
  • Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements.
  • Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.
  • Develop end-to-end production systems, including microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.
  • Integrate AI/ML capabilities into operational environments with attention to security, reliability, observability, and performance.
  • Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.
  • Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.
  • Collaborate with multi-disciplinary teams to identify mission needs, gather requirements, and define technical approaches.
  • Prepare technical documentation, contribute to design reviews, and support customer-driven requirements.

Join us. The world can't wait.
You Have:
  • 5+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning
  • 5+ years of experience developing AI/ML capabilities to operate in a microservice stack
  • Experience developing or maintaining production-grade APIs, microservices, or distributed systems
  • Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn
  • Experience designing, configuring, or deploying software systems in operational environments
  • Experience with CI/CD tooling, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with AWS and containerization of models in a classified environment
  • Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
  • Experience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and GCP
  • Experience with automated testing tools and model evaluation frameworks
  • Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field
  • AI/ML, Cloud, or Solution Architecture Industry Certifications

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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