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SalaryAs an Imagery Analyst, Senior TeamLead & 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
- Scale also provides spot bonuses + career advancement opportunities to the right candidates
- 1 Year Contract with likelihood of renewal
Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as "senior," but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.
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 organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.
