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Part Time Ai Tester Jobs (NOW HIRING)

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions ...

Bechtel

AI Solutions Engineer

Reston, VA

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions ...

The Pennsylvania State University

As a part-time Nittany AI Intern, you will work alongside the full-time tech lead and program ... Experience with version control, documentation, testing, or Agile workflows is a plus Additional ...

Conflux Systems

Java AI Architect

Texarkana, TX · On-site

$70/hr

Inform the candidate that they must not have any other part-time or full-time employment while ... autonomous testing where feasible (e.g., test case generation, script automation, regression ...

New

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

Experience adding testing and security scans to pipelines * Secret clearance * Bachelor's degree ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Weekday AI

Computer Vision Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Build executable evaluation components and testing frameworks where applicable. * Assess AI model ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Build executable evaluation frameworks and testing components where appropriate. * Evaluate AI ...

Retensa

AI Software Internship: Fall 2026

New York, NY · On-site

$500 - $1.0K/wk

Automation testing experience is preferred. The applicant is proficient in English and possess good ... week (part-time). A stipend of $500-$1000 will be provided upon completion of the internship.

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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.
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Part Time Ai Tester jobs near you
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 Solutions Engineer

Bechtel

Reston, VA • On-site

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

279th of 447 rated engineering

Job description

Requisition ID: 297512
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Reston, VA
  • Salary Range: 123,400 - 178,500 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The AI Program is a strategic cross-business initiative delivering AI capabilities at scale across Bechtel Infrastructure as part of the wider Execution Transformation Initiative. The AI Program relies on rigorous technical assurance to ensure that AI models, agents, and coding solutions deployed across Bechtel meet quality, safety, and accuracy standards. As AI capabilities scale from pilots to production, structured validation frameworks, coding standards, and Human-in-the-Loop (HITL) review processes are essential to maintaining trust in AI-driven outputs.
The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and AI agents, and maintaining robust testing frameworks that safeguard the integrity of AI solutions across the organisation. This role reports to the Data Solutions Architect and works in close collaboration with the AI Portfolio & Governance Manager and functional AI leads.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership" #LI-RM1
Major Responsibilities:
  • Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions.
  • Validate machine learning models and AI agents against defined performance, accuracy, and safety criteria prior to deployment.
  • Serve as the Human-in-the-Loop (HITL) reviewer, providing structured oversight and approval authority for AI-generated outputs. Conduct solution assurance reviews prior to the deployment or broader rollout of AI capabilities across business units.
  • Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions including LLM-based applications and agentic workflows.
  • Collaborate with Data Solutions Architect to ensure AI solutions align with platform architecture, data governance standards, and security requirements.
  • Identify and mitigate risks related to model performance, hallucination, bias, and data quality, proposing and implementing corrective actions.
  • Maintain documentation of model performance benchmarks, test results, and validation outcomes to support programme governance.
  • Support the integration of AI agents and large language model (LLM)-based tools into project delivery workflows.
  • Contribute to the development of technical AI governance policies, responsible AI frameworks, and operational guardrails for the AI Program.
  • Research emerging AI and machine learning technologies, including developments in large language models, AI agents, evaluation techniques, and model deployment patterns, to ensure the AI Program adopts appropriate, current, and technically robust solutions.
  • Provide technical training, guidance, and coaching to the AI Program Team to build internal capability, strengthen technical expertise, and promote consistent application of AI engineering, testing, and assurance practices.

Education and Experience Requirements:
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
  • 7+ years or more of experience in AI/ML engineering or data science roles.

Required Knowledge and Skills:
  • Proficiency in Python and experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or Hugging Face).
  • Demonstrated experience in AI model validation, testing, and quality assurance, including evaluation of LLM or generative AI outputs.
  • Experience designing AI evaluation frameworks, test cases, benchmarks, or quality gates for machine learning, generative AI, or LLM-based solutions. Preferably hands-on with the tooling provided in Databricks
  • Understanding of large language models (LLMs), AI agents, prompt engineering, and agentic frameworks.
  • Strong analytical and problem-solving skills with high attention to detail and a rigorous approach to quality.
  • Ability to communicate technical findings and assurance outcomes clearly to both technical and non-technical stakeholders.
  • Experience preparing clear technical documentation, validation reports, model performance summaries, or governance evidence for AI/ML solutions.
    Preferred Qualifications
  • Experience with MLOps platforms and model deployment pipelines (e.g., Azure Machine Learning, MLflow, or equivalent).
  • Familiarity with responsible AI frameworks, bias detection methodologies, and model governance practices.
  • Experience with agentic AI platforms such as Microsoft Copilot Studio, AutoGen, LangChain, or similar frameworks.
  • Hands-on experience with Azure cloud services and DevOps practices including CI/CD pipelines and version control (Git).
  • Experience providing technical guidance, coaching, or training to engineering, data, or AI delivery teams.
  • Knowledge of EPC industry workflows, engineering data standards, and project delivery environments.
  • Experience with RAG (Retrieval-Augmented Generation) architectures and enterprise AI deployment patterns.
  • Demonstrated commitment to staying current with emerging AI, machine learning, LLM, and agentic AI technologies and translating relevant developments into practical implementation guidance.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
At Bechtel, our employees enjoy a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off (160 hours annually, accrued 6.16 hours per pay period), nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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