About the Role
As an Imagery Analyst - Senior Team Lead and Quality Assurance Manager, you will be an integral part of ensuring that Scale consistently delivers high quality SAR and EO imagery labels to our government clients. The role has two major components - being an active part of the day-to-day operations with a high standard of quality and throughput; and leading a team of junior labelers, providing coaching, instruction, and performance management.
You will:
Consistently deliver high quality and throughput
Coaching and instructing junior data labelers on imagery analysis
Communicate with other QA Team Leads on poor quality trends to further develop necessary training
In charge of performance management of junior labelers
Work closely with the Queue Manager to optimize and improve the queue
Communicate any bugs to QM they encounter or their team encounters
Provide feedback to the Queue Manager to improve the queue performance
Be involved with SME-led training sessions
Receive specialized training from 2 Imagery Analysis SMEs with a combined experience of 55+ years in imagery analysis
Ideally you'd have:
4+ years of experience with SAR and/or EO
Attended a Basic Military Imagery Analysis course or equivalent training
Experience leading small teams
A team player mentality
A “what can I do to make this better” mindset
Strong computer skills (Excel / Google Sheet; knack for learning software quickly)
Nice to have:
An active USG security clearance
SQL knowledge
Experience coding
Pay & Duration:
Compensation: $35.00/hr or $25/hr for remote employees
Scale also provides spot bonuses + career advancement opportunities to the right candidates
1 Year Contract with likelihood of renewal
About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and are expanding our team to accelerate the development of AI applications.