ZipRecruiter

Log In

2

Remote Math Editor Jobs in Phoenix, AZ (NOW HIRING)

All JobsMath Editor JobsRemote Math Editor JobsRemote Math Editor Jobs in Phoenix, AZ

Remote Math Editor information

See Phoenix, AZ salary details

$11

$31

$57

How much do remote math editor jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote math editor in Phoenix, AZ is $31.38, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $39.38 per hour, depending on experience, location, and employer.

What are some typical challenges faced by remote math editors, and how can they be addressed?

A common challenge for remote math editors is ensuring clear and precise communication with content creators and team members, since collaboration happens virtually and potentially across different time zones. Maintaining high accuracy when editing complex mathematical material can be demanding, especially when working independently. To address these obstacles, many employers provide access to collaborative tools, detailed style guides, and hold regular video meetings to foster team cohesion and clarify expectations. Continuous feedback and participation in peer review processes also help strengthen editing quality and professional growth. Staying organized and proactive in seeking clarification greatly helps in overcoming remote work hurdles in this role.

What is a Remote Math Editor job?

A Remote Math Editor reviews, edits, and ensures the accuracy of mathematical content, such as textbooks, assessments, or educational materials. They work remotely to refine explanations, fix errors, and improve clarity while maintaining mathematical consistency. This role requires strong math expertise, attention to detail, and proficiency in relevant editing tools or LaTeX.

What are the key skills and qualifications needed to thrive in the Remote Math Editor position, and why are they important?

To thrive as a Remote Math Editor, you should have a strong background in mathematics, excellent editing and proofreading skills, and typically a degree in mathematics, education, or a related field. Familiarity with digital editing tools, LaTeX, and content management systems is often expected, and certifications in technical writing or editing can be advantageous. Strong attention to detail, time management, and the ability to communicate constructively with authors and other editors are highly valued soft skills. These competencies are crucial for ensuring mathematical content is accurate, clear, and accessible while meeting publication standards and deadlines in a remote work environment.

What are popular job titles related to Remote Math Editor jobs in Phoenix, AZ? For Remote Math Editor jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Math Editor jobs in Phoenix, AZ look for? The top searched job categories for Remote Math Editor jobs in Phoenix, AZ are:
Remote Math Editor jobs near you

Vision-Language-Action (VLA) Annotator

Objectways Technologies Llc

Phoenix, AZ • Remote

$25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location:RemoteEmployment Type: Full-Time | 40 hours/week Compensation: $25/hour
About the Role:
We are looking for a detail-oriented and technically capable Vision-Language-Action (VLA) Annotator to join our data operations team in Phoenix, Arizona. In this role, you will be responsible for reviewing, labeling, and quality-checking multimodal datasets used to train and evaluate autonomous driving and robotics models. Your work directly impacts the safety and performance of AI systems operating in the real world.
This is a full-time, 40-hour-per-week position requiring sustained focus, sound judgment, and the ability to apply structured annotation guidelines to complex, real-world scenarios including frequent edge cases.
Key Responsibilities:
  • Review and annotate video footage, sensor telemetry, and camera feeds from autonomous vehicle test drives and robotics platforms.
  • Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles, following distances, trail alignment, and controlled stop quality.
  • Use time-series telemetry data including speed, throttle, steering, and braking charts to make precise trim and segmentation decisions on data clips.
  • Apply annotation guidelines consistently while exercising independent judgment on ambiguous or edge-case scenarios.
  • Identify and flag unsafe, incomplete, or anomalous driving behaviors (e.g., rolling stops, improper following distance, out-of-distribution maneuvers).
  • Maintain high throughput and accuracy standards; participate in regular quality audits and calibration sessions.
  • Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently.
  • Document and communicate recurring issues or ambiguities in the data to improve pipeline quality.
Preferred Qualifications:
  • Education: Bachelor's degree with a STEM background preferred (Engineering, Computer Science, Physics, Mathematics, GIS, or related field).
  • Spatial & Mechanical Reasoning: Demonstrated ability to interpret vehicle or robotic behavior in 3D space from 2D camera feeds. Backgrounds in robotics, automotive engineering, mechanical engineering, GIS, or simulation are strong indicators.
  • Time-Series Data Literacy: Experience reading and interpreting sensor data, telemetry charts, lab instrumentation output, or signal processing data. Comfort with chart-heavy analytical workflows is essential for making precise trim decisions.
  • Driving Familiarity: Regular driving experience, ideally in varied or off-road conditions. Must be able to distinguish safe from unsafe driving behavior, recognize complete vs. rolling stops, and assess reasonable following distances.
  • Detail Orientation with Tolerance for Ambiguity: Ability to follow precise, rule-based guidelines while also applying sound judgment on frequent edge cases. Prior experience in QA, data annotation, or lab/research settings is a strong signal.
  • Video Review Endurance: Comfort with sustained video review tasks. Prior experience in video editing, surveillance monitoring, sports performance analysis, or media production is a plus.
Nice-To-Haves:
  • Prior annotation or data labeling experience, especially in autonomy or robotics datasets.
  • Familiarity with geospatial tools, map interfaces, or GIS platforms.
  • Hands-on experience with Encord, Label Studio, CVAT, Scale AI, or comparable labeling platforms.
  • Background in autonomous vehicles, ADAS systems, or driver safety analysis.

This is a remote position.