Performance Escalations Technician

Carbon Robotics; United States; On-site; USD 72,000 - 80,000; Full time

Benefits offered by this job

Pre-IPO stock options

Fully-paid medical, dental, and vision insurance

Flexible PTO

Commuter benefits

Job summary

Carbon Robotics is looking for a Deep Learning Quality Specialist responsible for maintaining datasets for computer vision algorithms. This role involves auditing data, reviewing imagery for accuracy, and collaborating with teams to ensure data integrity. Applicants should have a background in Agronomy or Farming and possess strong problem-solving and organizational skills. Compensation includes a competitive salary of USD 72,000–80,000, stock options, and comprehensive benefits, including health, dental, and vision insurance.

Qualifications

• Education or professional experience in Agronomy or Farming.
• Data annotation experience.
• Highly motivated, independent thinker with strong problem-solving skills.
• Highly organized with excellent time management skills.
• Ability to work collaboratively with customers and teams.
• High level of attention to detail with strategic thinking.

Responsibilities

• Audit data to ensure clean and appropriate datasets.
• Review imagery, correct labels and classifications.
• Investigate issues with support to ensure data integrity.
• Validate solutions and document results.
• Translate field test results into actionable insights.

Skills

Data annotation experience

Problem-solving skills

Collaboration skills

Time management

Attention to detail

Education

Education or professional experience in Agronomy or Farming

Tools

Google Suite

Confluence

Job description

Deep Learning Quality Specialist

As a Deep Learning Quality Specialist at Carbon Robotics, you will be responsible for maintaining our expanding dataset of high‑resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing and fixing complex deep learning models to ensure our products are robust and reliable. You will also help the Deep Learning team by performing field tests and identifying issues with models, often going to the farm to ensure reliable and safe products.

What You’ll Do

• Audit data to ensure clean and appropriate datasets
• Review imagery, correct labels and classifications, and provide feedback to labelers
• Work closely with support to investigate issues and determine what is needed to ensure data integrity
• Review data irregularities detected by automated tooling
• Validate solutions, document results, and confirm customer feedback
• Translate field test results and model issues into actionable insights
• Prepare cases for field personnel to review labels and predictions
• Help the Deep Learning team prioritize tasks based on impact to customer satisfaction

Knowledge, Skills, and Abilities for Success

• Education or professional experience in Agronomy or Farming
• Data annotation experience
• Highly motivated, independent thinker with strong problem‑solving skills
• Highly organized with excellent time management to juggle multiple priorities simultaneously
• Collaboration skills to work with customers and internal teams simultaneously
• High level of attention to detail and strategic thinking ability
• Detail-oriented with proven ability to deliver accurate reporting
• Intermediate to advanced Google Suite and Confluence skills desired
• Ability to identify and address high‑risk situations and make safe independent decisions based on process
• Travel required – 10–15%

Compensation and Benefits

• Competitive salaries (USD 72,000–80,000 base, with opportunities based on experience and performance)
• Pre‑IPO stock options
• Generous benefits: fully‑paid medical, dental, and vision insurance premiums for you and all dependents; choice of PPO or HDHP/HSA; virtual care; employee assistance program; mental health HRA; restricted healthcare travel support; menopause support; life insurance; long‑term disability; flexible PTO; 401(k) plan; pet insurance; commuter benefits
• Inclusive and mission‑driven company culture

Equal Employment Opportunity

Carbon Robotics follows equitable hiring practices. We welcome and value diverse voices and are committed to creating an inclusive workplace. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status, pregnancy, sexual orientation, national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability, HIV/AIDS, genetic information, or any other protected class as established by law. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team.