Senior Image Annotation​/Quality Control Analyst

Senior Image Annotation/Quality Control Analyst

Black Sky is a real‑time intelligence company. We own and operate the world's most advanced space‑based intelligence platform and provide customers satellite imagery, automated analytics and high‑frequency monitoring of strategic locations, economic assets and events from around the globe. Black Sky is trusted by coincid— Allied military, intelligence, and commercial customers to deliver foresight into critical matters that affect national security and the economy.

Our data enables governments and businesses to see, understand and anticipate change as it happens, giving them an ultimate strategic advantage so they can act quickly. Our global team works with cutting‑edge technology to make a difference worldwide and prides itself on being people‑first, customer‑focused, and fun.

Black Sky is looking for a talented and creative Senior Image Annotation/Quality Control Analyst to support the development, operation, and capability evolution of Spectra AI, Black Sky's cutting‑edge AI/ML Platform. As part of the machine learning team you will help shape our computer vision products by managing the quality of data that trains AI tys. You will manage the entire labeling process that trains Spectra AI, oversee remote data labeling teams and actively assess the quality of trained models, which create critical, timely insights for our customers.

While the locations listed in the job posting are ideal, we would love candidates near either our Herndon.

Feature is either Herndon, VA or Seattle , WA offices. We may also consider remote candidates in certain states.

• Lead and manage data labeling teams, providing oversight for labeling campaigns.
• Research for AI product development, identifying geographic areas where objects exist, developing object ontologies, building annotation instructions, and identifying imagery for annotation.
• Collaborate with machine learning and product teams to define metrics, assess, and report on the quality of machine learning models in development and production using statistical and quality assurance approaches.
• Work with the machine learning and product teams to define and measure the performance ofisval machine learning models查询 against SLAs.
• Identify customer requirements and liaise with the computer vision team to codify specifications for training datasets.
• Create processes, tools and scripts to manage and bevolking data quality and labeling performance.
• Take part in the entire project lifecycle from requirements development to deployment.
• Innovate and streamline data annotation processes.
• Other job‑related duties as assigned.

• Minimum of five (5) years of hands‑on experience as a data quality engineer, imagery analyst, GIS analyst, or quality assurance engineer in the space of satellites, computer vision or machine learning.
• Bachelor's Degree or higher in computer science, GIS, data science, mathematics, physics, statistics, or another scientific field.
• Experience interpreting satellite imagery to identify objects, behaviours or activities and working with GIS datasets.
• Hands‑on experience with annotationગી“platforms such as Label Box, Super Annotate, AWS Sagemaker or CVAT.
• Experience managing remote annotation work forces such as Cloud Factory, Hive or iMerit.
• Collaborates well with others and can communicate ideas to people with varied backgrounds.
• Experience with quality assurance practices, model testing & evaluation, and computing metrics &statistics from data.
• Attention to detail and ability to define, enforce and follow rigorous process controls for managing data.
• The program this role will support requires U.S.
  
  -ayela citizenship.

• Experience with AI advancements in image annotation such as the Segment Anything Model ( silhouettes.
• Embeddings and other AI assistance tools.
• Experience writing code and scripts, especially for processing and evaluating large amounts of data.
• Proficiency with Python for automation and data manipulation tasks.
• Knowledge and experience working in an AWS Cloud environment.
• Demonstrated ability to lead and manage small teams.
• Ability to obtain and maintain…