ZipRecruiter

Log In

1

Apprentice Machine Learning Testing Jobs in Maine

Alivo

Lead QA Engineer

Portland, ME · On-site

$133K/yr

Who We're Looking For We are looking for a highly detail-oriented QA Engineer to own testing ... Exposure to AI-powered products or machine learning systems * Background in SaaS products or high ...

previous pagenext page

Showing results 21-40

All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Maine

Apprentice Machine Learning Testing information

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 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 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 Maine?

For Apprentice Machine Learning Testing jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Maine look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Maine are:

What cities in Maine are hiring for Apprentice Machine Learning Testing jobs?

Cities in Maine with the most Apprentice Machine Learning Testing job openings:

Apprentice Machine Learning Testing jobs near you
Infographic showing various Apprentice Machine Learning Testing job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Lead QA Engineer

Portland, ME • On-site

Alivo
See more jobs at Alivoexternal

$133K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Alivo

At Alivo, we’re transforming how businesses connect with their customers. Using cutting-edge AI, we help companies deliver instant, intelligent, and personalized communication that drives growth and customer loyalty. Our mission is simple: empower businesses to thrive by making every interaction unforgettable.

Who We’re Looking For

We are looking for a highly detail-oriented QA Engineer to own testing, release validation, and AI conversation quality across the Alivo platform.

You will be in charge of developing and running our automated test suite as well as (where needed) manually validating new features, identifying edge cases, evaluating user experience, and ensuring releases meet a high standard before reaching customers.

A core part of this role is evaluating the quality of AI-driven phone and chat conversations. You will help determine whether our AI communicates naturally, accurately, and effectively while identifying opportunities to improve customer interactions and overall product quality.

This role is critical to our success. You will serve as the final quality gate before releases ship and help define what great AI-powered customer communication should look like.

If you thrive in fast-paced environments, enjoy uncovering problems before customers do, and have strong instincts for quality, this role is for you.

Responsibilities
  • Own Product Testing
    • Develop, run, and maintain automated test suites
    • Manually test new features, workflows, and user experiences before release
    • Perform exploratory testing to identify bugs, usability issues, and edge cases
    • Validate functionality across staging and production-like environments
    • Execute structured test plans and release checklists to ensure consistent quality
    • Verify bug fixes and regression testing across product releases
  • Drive Product Quality & Release Readiness
    • Review feature implementations and release candidates before deployment
    • Partner with Engineering to identify risks and improve release confidence
    • File clear, reproducible bug reports with detailed documentation
    • Help establish and improve manual testing processes as the company grows
    • Serve as a trusted quality gate for production releases
  • Own AI Conversation Quality
    • Evaluate AI-powered phone and chat conversations for quality and effectiveness
    • Assess whether conversations are natural, accurate, helpful, and aligned with customer goals
    • Review objection handling, conversational flow, and customer experience outcomes
    • Identify failure modes, edge cases, hallucinations, and off-script behavior
    • Help define quality standards and acceptance criteria for AI-powered interactions
  • Build AI Evaluation Processes
    • Develop and maintain conversation evaluation datasets and testing scenarios
    • Create scoring rubrics and quality frameworks for measuring AI performanceTrack AI quality over time and identify regressions or performance changes
    • Provide actionable recommendations that improve prompts, workflows, and AI behavior
  • Collaborate Cross-Functionally
    • Work closely with Engineering, Product, Customer Success, and Leadership
    • Provide feedback that improves both product quality and customer outcomes
    • Help prioritize quality improvements based on customer impact and business goals
    • Support a culture of quality throughout the organization
Qualifications
  • What You Bring
    • 2–5+ years of QA, software testing, product operations, or similar experience
    • Strong attention to detail and a methodical approach to testing
    • Excellent written and verbal communication skills
    • Ability to identify edge cases, failure modes, and customer experience issues
    • Strong problem-solving and analytical thinking skills
    • Experience creating clear bug reports and testing documentation
    • Comfortable working in a fast-paced, evolving startup environment
  • Who You Are
    • Highly detail-oriented and naturally curious
    • A strong critical thinker who enjoys finding problems before customers do
    • Comfortable making judgment calls about quality and user experience
    • Organized, reliable, and highly accountable
    • Able to communicate findings clearly and objectively
    • Passionate about creating exceptional customer experiences
  • Bonus Points For
    • Experience evaluating AI, LLM, or conversational AI systems
    • Experience with test management or bug tracking tools such as Linear, Jira, or TestRail
    • Experience with API testing tools such as Postman
    • Basic SQL, scripting, or technical troubleshooting skills
    • Experience in customer-facing, sales, or support roles
    • Exposure to AI-powered products or machine learning systems
    • Background in SaaS products or high-growth startup environments
  • Company Sponsored Insurance Offerings
    • Health
    • Vision
    • Dental
  • Long Term Financial Benefits
    • Employee equity
    • 401(k)
  • Time to Recharge
    • Unlimited paid time off
    • Paid sick time
#J-18808-Ljbffr

Apply