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Part Time Ai Tester Jobs (NOW HIRING)

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... AI systems across mechanical engineering applications. This is a flexible, fully remote, part-time ... testing methodologies, and engineering standards. * Collaborate with multidisciplinary subject ...

AI Intern- Recycling

Irving, TX · On-site

$14 - $18.75/hr

it's what's inside that counts- This position is part time, 15 hours per week. There's more to CMC ... testing, and supporting automated workflows * Evaluate repetitive administrative, reporting ...

Telework Type: Part-Time Telework * Work Location: Washington,DC * Salary Range: $140,800 - $203 ... Establish and reinforce engineering standards, including code quality, testing, monitoring ...

Posted today

AI Intern- Recycling

Irving, TX

$14 - $18.75/hr

it's what's inside that counts- This position is part time, 15 hours per week. _____ There's more ... testing, and supporting automated workflows * Evaluate repetitive administrative, reporting ...

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

... testing, or model evaluation * Secret clearance * Bachelor's degree in Mathematics, Computer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

... testing, or model evaluation * Secret clearance * Bachelor's degree in Mathematics, CS, Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... AI systems across electrical engineering applications. This is a flexible, fully remote, part-time ... Share insights into real-world electrical engineering workflows, design practices, testing ...

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

... testing, or model evaluation * Secret clearance * Bachelor's degree in Computer Science, Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

... testing, or model evaluation * Secret clearance * Bachelor's degree in Computer Science, Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

... testing, or model evaluation * Secret clearance * Bachelor's degree in Computer Science, Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

... testing, or model evaluation * Secret clearance * Bachelor's degree in Computer Science, Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 41-60

Part Time Ai Tester information

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$10

$38

$62

How much do part time ai tester jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for part time ai tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What is a part time AI tester?

Part time AI testers are professionals who evaluate artificial intelligence systems or applications on a part-time basis. Their main responsibilities include testing AI models for accuracy, usability, bias, and functionality, as well as reporting bugs or issues to the development team. Part time positions allow for flexible hours, making this role suitable for students, freelancers, or those seeking additional income. AI testers may work with chatbots, image recognition tools, recommendation systems, or other types of AI products. They often need to document their findings and provide feedback to help improve the AI’s performance.

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

AspectPart Time Ai TesterPart Time Data Annotator
CredentialsBasic technical skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, testing AI modelsRemote or office-based, labeling data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets

Both roles involve data handling and require attention to detail, but Part Time Ai Testers focus on evaluating AI model performance, while Part Time Data Annotators primarily label and prepare data for training AI systems.

What are the key skills and qualifications needed to thrive as a part time AI tester?

To thrive as a Part Time AI Tester, you need analytical thinking, attention to detail, and a basic understanding of software testing principles, often supported by some technical or computer science background. Familiarity with testing tools, bug tracking systems, and basic scripting languages like Python is typically required. Strong communication, problem-solving abilities, and adaptability help testers report issues clearly and collaborate effectively with development teams. These skills ensure accurate identification of AI system flaws and contribute to delivering reliable, high-quality artificial intelligence products.

What are some typical challenges faced by part time AI testers, and how can they effectively manage their workload?

Part-time AI testers often face challenges such as adapting quickly to new testing protocols, managing shifting project priorities, and staying updated on evolving AI models. Since their hours are limited, it is crucial to communicate clearly with team leads about task expectations and deadlines. Effective time management, staying organized with detailed notes, and leveraging collaboration tools can help part-time testers contribute meaningfully while maintaining work-life balance. Additionally, proactively seeking feedback and participating in briefings can keep testers in sync with full-time colleagues and project goals.
More about Part Time Ai Tester jobs

What cities are hiring for Part Time Ai Tester jobs?

Cities with the most Part Time Ai Tester job openings:

What are the most commonly searched types of Ai Tester jobs?

The most popular types of Ai Tester jobs are:

What states have the most Part Time Ai Tester jobs?

States with the most job openings for Part Time Ai Tester jobs include:

Infographic showing various Part Time Ai Tester job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

AI/ML Engineer, Senior

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


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