Software Operations Specialist

Responsibilities

Quality Review of Data Annotation

• Review annotated datasets and labeling outputs for quality and consistency across robotics and autonomy workflows
• Apply defined QC criteria and rubrics to evaluate outputs as pass, fail, or needs review
• Document specific defect types per task — incorrect output, regression, edge-case failure, data inconsistency, tool behavior deviation
• Maintain a clean review log for every item assessed — no undocumented assessments

Tool Testing & Bug Reproduction

• Test internal tools across standard workflows and exception scenarios as directed by the Operations Lead
• Reproduce reported bugs reliably and validate fixes with clear supporting documentation — steps, inputs, expected vs. actual behavior
• Confirm test parameters and scope before each cycle and flag discrepancies
• Track test coverage across tools, workflows, and edge cases

Reporting

• Submit completed QC and testing logs on the agreed cadence
• Flag urgent or high-severity defects same-day — do not wait for the regular report
• Write clear, specific defect notes — exact descriptions of what failed, reproduction steps, and impact, not vague feedback

Escalation & Process Improvement

• Escalate any case where the rubric or test plan is ambiguous or does not cover the scenario — do not guess
• Flag patterns you notice across multiple items — recurring defects, systemic issues, documentation gaps
• Help improve QC processes, testing methods, and internal documentation through structured feedback to the Operations Lead
• Collaborate with operations and engineering teams to communicate findings and support prioritization — all formal feedback routes through the Operations Lead

Requirements

• 1–3 years of experience in QA, software testing, operations, content review, or a closely related field
• Demonstrated ability to apply rubrics or evaluation criteria consistently across high volumes of work
• High attention to detail and strong problem-solving ability — you catch things others miss and document them precisely
• Excellent written and verbal communication — defect notes are specific, clear, and actionable
• Comfortable learning new tools and working across technical systems
• Able to manage multiple tasks independently in a fast-paced, remote async environment
• Reliable and consistent — this role requires showing up to a regular cadence without prompting

Nice-to-Haves

• Experience with mapping, 3D tools, or visual software
• Familiarity with U.S. roadways and driving behavior
• Experience reviewing outputs across multiple modalities — text, image, sensor data, video
• Exposure to robotics, autonomy, or ML training data production environments
• Bachelor's degree

Compensation

• Base salary range: $72,660 - $92,720