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 model performance.
- Qualifications: STEM degree required; familiarity with GIS tools is a plus.
- Other info: Work independently in a dynamic environment with opportunities for growth.
The predicted salary is between 28800 - 48000 £ 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 employer: SynMax
Contact Detail:
SynMax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Satellite Imagery QA Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the geospatial analysis field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with remote sensing imagery and any projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common QA processes and tools like QGIS or ArcGIS. We want you to feel confident discussing your technical background and how it relates to the role.
✨Tip Number 4
Don’t forget to 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 that extra step.
We think you need these skills to ace Satellite Imagery QA Analyst
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 quality assurance in satellite imagery and how your attention to detail can make a difference. We love seeing genuine enthusiasm for the role!
Showcase Relevant Experience: If you’ve worked with AI/ML data annotation or have experience with GIS tools, make sure to mention it! Even if it's just a nice-to-have, we appreciate seeing how you can contribute to our team’s success.
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 everyone involved!
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, SAR, and hyperspectral. Brush up on how these images are processed and validated, as this will show your potential employer that you understand the core of the role.
✨Highlight Your Attention to Detail
Since this job requires a keen eye for detail, prepare examples from your past experiences where you've successfully identified errors or inconsistencies in data. This will demonstrate your ability to maintain high accuracy in repetitive tasks.
✨Showcase Your Technical Skills
Be ready to discuss your experience with GIS tools like QGIS or ArcGIS, even if it's just basic familiarity. If you've worked with AI/ML data annotation or image labelling, make sure to mention it, as it’s a nice-to-have for this position.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since you'll need to document findings and communicate issues, being able to express complex ideas simply will be a big plus in your interview.