Staff Data Annotation/Quality Control Analyst

Staff Data Annotation/Quality Control Analyst

About Us:

BlackSky 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. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun.

BlackSky is looking for a talented and creative Staff Data Annotation/Quality Control Analyst/Quality Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky's cutting edge AI/ML Platform. As part of the machine learning team, you are instrumental in shaping our computer vision products by managing the quality of data that trains AI/ML models. As an individual contributor, you will help manage and grow the entire labeling process that trains Spectra AI, overseeing 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, VA or Seattle, WA offices. We may also consider remote candidates in certain states.

Responsibilities:

• Own and architect vision, strategy, and technical roadmap for BlackSky's data labeling pipeline.
• Lead and manage external data labeling teams, providing oversight for labeling campaigns.
• Act as a key technical leader, partnering with stakeholders across the broader team (e.g., computer vision, mlops, platform) to meet customer-driven timelines and product requirements.
• 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.
• Create processes, tools, and scripts to manage and track data quality and labeling performance.
• Take part in the entire project lifecycle from requirements development to deployment.
• Mentor and guide other engineers on the team, leveraging your experience to teach others and foster a culture of technical excellence and innovation.
• Other job-related duties as assigned.

Required Qualifications:

• Minimum of eight (8) 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 one of the following fields: computer science, GIS, data science, mathematics, physics, statistics, or another scientific field, or equivalent experience (four years).
• Experience interpreting satellite imagery to identify objects, behaviors, or activities and working with GIS datasets.
• Hands on experience with annotation platforms such as LabelBox, SuperAnnotate, AWS Sagemaker, or CVAT and managing remote annotation workforces.
• Able to interdependently manage work projects defining, managing, and executing based on fixed objectives.
• Collaborates well with others and able to communicate ideas to those with other 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.
• Experience working with or managing Data Labeling teams such as CloudFactory, Hive, or iMerit.
• The program this role will support requires Us-born citizenship.

Preferred Qualifications:

• Over ten (10) years of relevant professional experience.
• Experience with AI advancements in image annotation such as the Segment Anything Model (SAM), Embeddings, and other AI Assistance tools.
• Experience writing code and scripts, especially for processing 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.

Life at BlackSky for full-time US benefits eligible employees includes:

• Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance




• BlackSky pays 100% of employee-only premiums for medical, dental and vision and contributes $100/month for out-of-pocket expenses!




• 15 days of PTO, 11 Company holidays, four Floating Holidays (pro-rated based on hire date), one day of paid volunteerism leave per year, parental leave and more
• 401(k) pre-tax and Roth deferral options with employer match
• Flexible Spending Accounts
• Employee Stock Purchase Program
• Employee Assistance and Travel Assistance Programs
• Employer matching donations
• Professional development
• Mac or PC? Your choice!
• Awesome swag

The anticipated base salary range for candidates in Seattle, WA is $110,000-135,000 per year. The final compensation package offered to a successful candidate will be dependent on specific background and education. BlackSky is a multi-state employer, and this pay scale may not reflect salary ranges in other states or locations outside of Seattle, WA.

BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

EEO/AAP/ Pay Transparency Statements:

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf