Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse satellite imagery to ensure top-notch data quality for AI/ML models.
- Company: Join a forward-thinking team in the geospatial analysis field.
- Benefits: Competitive pay, potential for contract extension, and hands-on experience.
- Why this job: Make a real impact on cutting-edge technology and improve product quality.
- Qualifications: STEM degree required; familiarity with GIS tools is a plus.
- Other info: Work independently in a dynamic environment with growth opportunities.
The predicted salary is between 28800 - 43200 £ per year.
We are looking for a QA Technician with experience in geospatial analysis to support our team for a 3-month full-time contract, with the possibility of extension. This role involves analyzing over-ocean optical, SAR, and possibly hyperspectral imagery to ensure high-quality data for our AI/ML models. The job requires strong attention to detail and involves repetitive tasks to maintain accuracy. Your work will directly impact our model performance and product quality.
Responsibilities
- Review and analyze remote sensing imagery for quality assurance
- Identify and correct errors or inconsistencies in imagery data
- Work with AI/ML teams to ensure data quality meets model requirements
- Follow standard procedures for image processing and validation
- Document findings and communicate any issues clearly
Qualifications
- STEM degree (e.g., Remote Sensing, GIS, Physics, Engineering, Computer Science) – must have
- Experience with AI/ML data annotation or image labeling – nice-to-have
- Familiarity with GIS tools (e.g., QGIS, ArcGIS) or remote sensing software – nice-to-have
- Knowledge of SAR and hyperspectral imagery – nice-to-have
- Attention to detail – Ability to perform repetitive tasks with high accuracy
- Technical background – experience with remote sensing, GIS, or geospatial analysis
- Problem-solving skills – Ability to identify and fix data inconsistencies
- Ability to work independently and follow structured workflows
We are based in Houston, TX, USA, and require some overlap with this time zone for easy communication.
Satellite Imagery QA Analyst in London employer: SynMax
Contact Detail:
SynMax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Satellite Imagery QA Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the geospatial analysis field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that QA Technician role.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of SAR and hyperspectral imagery. We recommend practising common interview questions related to quality assurance and data analysis. Show them you’re the detail-oriented candidate they need!
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! During interviews, share specific examples of how you’ve identified and fixed data inconsistencies in the past. We want to see how you tackle challenges head-on.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Satellite Imagery QA Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in geospatial analysis and any relevant software skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your STEM degree and any projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about satellite imagery and how your attention to detail will help us maintain high-quality data for our AI/ML models. Keep it concise but impactful!
Showcase Relevant Experience: If you’ve worked with GIS tools or have experience in AI/ML data annotation, make sure to mention it! We love seeing candidates who can bring that extra bit of knowledge to the table, so highlight any relevant projects or roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at SynMax
✨Know Your Imagery
Familiarise yourself with the types of imagery you'll be working with, like optical and SAR. Brush up on any specific software tools mentioned in the job description, such as QGIS or ArcGIS, so you can confidently discuss your experience with them.
✨Attention to Detail is Key
Since this role requires a strong focus on quality assurance, prepare examples from your past work where your attention to detail made a difference. Be ready to explain how you approach repetitive tasks without losing accuracy.
✨Communicate Clearly
Practice articulating your thoughts clearly, especially when discussing technical issues or findings. The ability to document and communicate problems effectively is crucial, so think of scenarios where you've had to do this in previous roles.
✨Show Your Problem-Solving Skills
Prepare to discuss specific instances where you've identified and corrected data inconsistencies. Highlight your analytical thinking and how you approach problem-solving, as these skills are essential for the role.