Junior QA Manual Engineer

🕒 August 4

🇺🇦 Ukraine – Remote

⏰ Full Time

🟢 Junior

🔧 QA Engineer (Quality Assurance)

🚫👨‍🎓 No degree required

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NineTwoThree Studio

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

NineTwoThree Studio is an award-winning software design, engineering, and marketing studio headquartered in Boston, MA. The company specializes in building AI, web, and mobile applications for established brands and funded startups. With a focus on agile methodology, design thinking, and impeccable engineering, NineTwoThree Studio provides custom software development, generative AI, machine learning, and go-to-market strategies. They are known for their innovative solutions that help brands scale and iterate, supported by a team of 70 experts. The studio has successfully built 75 products and 14 startups, earning recognition as the #1 Boston Agency for four years in a row. They work across multiple industries, offering services in design sprints, product strategy, and mobile app development.

📋 Description

• Review requirements and independently define what "correct output" looks like when none is explicitly stated • Design test plans, scenarios, and checklists for AI-powered features where expected results are probabilistic • Perform manual functional, regression, and exploratory testing across web and mobile • Test AI outputs for hallucinations, incomplete retrieval, confidently wrong answers, and failure to apply business rules • Inspect API requests and responses via DevTools or Postman to verify what data the system actually used • Document and report bugs with enough context for developers to reproduce and diagnose them • Collaborate closely with developers, product managers, and AI engineers • Present findings clearly to technical and non-technical stakeholders • Resolve ambiguity by forming hypotheses, defining acceptance criteria, and testing against them • Contribute to building ground-truth datasets and evaluation rubrics for AI systems • Eventually lead QA on full AI product lines

🎯 Requirements

• 1.5+ years in QA or software engineering • Strong understanding of QA process, methodology, and terminology, including test plans, test cases, SDLC, and regression • Experience with manual testing of web and mobile applications • Comfort working with REST APIs and browser DevTools • Upper-Intermediate English for daily communication with international clients • Ability to independently define correct outputs and acceptance criteria for ambiguous AI features • Ability to identify hallucinations, retrieval gaps, prompt sensitivity, and role/permission leakage in AI systems • Ability to ask why an answer is correct before accepting displayed results • Basic SQL or ability to query data directly to verify retrieved data (nice to have) • Familiarity with LLMs, RAG pipelines, or AI chatbots (nice to have) • Experience testing role-based access control (RBAC) (nice to have)

🏖️ Benefits

• Annual paid vacation: 20 days-off per year during the first 3 years, further increasing to 25 days in later years • Paid sick leave • 10 national holidays and 2 company days-off • Well-being budget • Health Insurance allowance • Maternity/paternity leave • Accounting assistance • Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager) • Hardware upon business needs • Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor • Fast interview process: interview with HR, technical interview with the QA Team Lead and QA Manual Engineer, Offer • Career growth and promotion opportunities • Opportunity to help define AI testing practices, build ground-truth datasets, design evaluation rubrics, and eventually lead QA on full AI product lines