GRADUATE QUALITY CONTROL ENGINEER
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Aug 11, 2026. Mindtrace scores B on the Alion truth index.
ABOUT US:
We’re an AI-focused startup, led by experienced entrepreneurs and supported by leading investors. We are building brain-inspired, intelligent systems to maximally exploit the functionality and performance of compute devices in smart manufacturing applications. Our trademarked technology continuously learns new use cases from unlabeled data using only a few reference examples.
This is an incredibly exciting time to join the company, as we scale across multiple customers and industry domains from automotive, aerospace, defense to heavy industries.
We are based in central Manchester. We offer competitive salaries and benefits.
ROLE:
We are seeking a Graduate Quality Control Engineer to join our data operations and quality assurance team. This role focuses on maintaining the highest standards of accuracy in 2D image annotations used to train and evaluate our AI models for defect detection.
WHAT DO WE OFFER:
- Market competitive compensation package
- Company pension
- Hybrid friendly work environment
- Growth opportunity at an early-stage startup
ESSENTIAL:
- Excellent attention to detail and strong visual analysis skills.
- Ability to follow structured annotation and QC protocols with high consistency.
- Familiarity with image data and interest in computer vision applications.
- Comfortable using digital annotation platforms and working with structured data (e.g., spreadsheets).
- Strong communication skills and ability to collaborate across technical and non-technical teams.
- Proficient in English (written and verbal).
- Available to work from Manchester office (minimum 3 days in the office Tue-Thurs mandatory)
NICE TO HAVE:
- Experience with relevant programs such as Mechanical/Manufacturing Engineering, Data Science, Data Labelling and Quality Assurance for AI.
- Experience with annotation tools such as LabelStudio, VGG Image Annotator.
- Basic understanding of manufacturing processes or defect types in industrial components.
- Interest in AI-driven visual inspection and data-centric AI development.
We are an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, citizenship, marital status, disability, gender identity or Veteran status.