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Annotation Math Jobs (NOW HIRING)

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Design and improve annotation workflows, labeling interfaces, and related tools with a focus on ... data (science, mathematics, programming, recent events, etc.) * Experience conducting model or ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Design and improve annotation workflows, labeling interfaces, and related tools with a focus on ... data (science, mathematics, programming, recent events, etc.) * Experience conducting model or ...

SpaceXAI

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal ... science, mathematics, programming, recent events, etc.) * Experience with model or dataset ...

New

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering ...

Maxinsights

Technical Project Manager

Santa Clara, CA · On-site

Own the full lifecycle of complex robotics data collection and annotation projects--from initial ... spatial math, and ML training workflows. * Problem Solving: Exceptional learning agility and ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering ...

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Showing results 21-40

All JobsAnnotation Math Jobs

Annotation Math information

See salary details

$22.5K

$58.8K

$94.5K

How much do annotation math jobs pay per year?

As of Aug 14, 2026, the average yearly pay for annotation math in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is the difference between Annotation Math vs Data Annotator?

AspectAnnotation MathData Annotator
Required CredentialsBasic education, sometimes specialized training in annotation toolsHigh school diploma or equivalent, on-the-job training
Work EnvironmentData labeling teams, tech companies, remote or onsiteData labeling teams, tech companies, remote or onsite
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Common Search IntentUnderstanding roles related to data annotation and mathComparing data annotation jobs

Annotation Math and Data Annotator roles both involve data labeling within AI and machine learning industries. Annotation Math may focus more on mathematical annotations, while Data Annotator generally covers broader data labeling tasks. Both roles often share similar work environments and required skills, making them closely related in the data annotation field.

What is an annotation math job?

Annotation Math jobs involve labeling, tagging, and categorizing mathematical data, such as equations, formulas, graphs, or written math problems, to create high-quality datasets. These annotated datasets are often used to train artificial intelligence (AI) and machine learning models to recognize and process mathematical content accurately. Annotation Math professionals need a strong understanding of mathematics, attention to detail, and familiarity with annotation tools or platforms. This work is critical for improving technologies like automated math solvers, educational apps, and document digitization.

What are the key skills and qualifications needed to thrive as an annotation math specialist, and why are they important?

To thrive as an Annotation Math Specialist, you need a solid understanding of mathematics, attention to detail, and familiarity with educational or assessment standards, often supported by a relevant degree. Proficiency with annotation tools, data labeling platforms, and sometimes LaTeX or similar mathematical typesetting systems is typically required. Strong analytical thinking, communication, and the ability to work independently are essential soft skills for accuracy and consistency. These skills and qualities are crucial to ensure high-quality, precise annotations that support machine learning, educational resources, or assessment development.

What are some common challenges faced by professionals in annotation math roles, and how can they be addressed?

Professionals in Annotation Math roles often encounter challenges such as interpreting ambiguous mathematical data, maintaining consistency in labeling complex equations, and managing repetitive tasks that require high attention to detail. Addressing these challenges involves following clear annotation guidelines, collaborating with team members to resolve uncertainties, and utilizing quality assurance tools to minimize errors. Regular feedback sessions and ongoing training also help ensure accuracy and support professional growth in this specialized field.
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Cities with the most Annotation Math job openings:

What states have the most Annotation Math jobs?

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What job categories do people searching Annotation Math jobs look for?

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Annotation Math jobs near you
Infographic showing various Annotation Math job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Human Data - Engineer

SpaceXAI

Palo Alto, CA • On-site

$144K - $270K/yr

Full-time

Posted 9 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies

Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

You will ensure engineering teams get the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects. You sit at the intersection of engineering and data operations: partnering with model teams, designing projects that capture meaningful signals, and driving data yield and eval lift. This is a hands-on technical role for engineers who deeply understand training and evaluation and want to influence data strategy.

RESPONSIBILITIES:
  • Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.
  • Own end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development.
  • Build tools and systems to measure data effectiveness (data yield, eval lift, usage), and run evaluations yourself to continuously improve quality.
  • Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
  • Research, implement, and evaluate techniques for data collection, annotation, generation, and multi-modal integration.
  • Shape Grok's behavior and domain performance through targeted data work.
  • Design and improve annotation workflows, labeling interfaces, and related tools with a focus on data quality and integrity.
  • Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.
  • Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.
BASIC QUALIFICATIONS:
  • Bachelor's degree in engineering, computer science, or a related STEM discipline, or 4+ years of experience in lieu of a degree
  • Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
  • Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
PREFERRED SKILLS AND EXPERIENCE:
  • Master's degree or higher in a relevant technical field
  • Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems
  • Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity
  • Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)
  • Experience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
  • Experience in a scripting language like Python
  • Experience in SQL or other data analysis tools
ADDITIONAL REQUIREMENTS:
  • Weekend work may be required.
  • Travel to other SpaceXAI sites may be required.
COMPENSATION AND BENEFITS:

$144,000 - $270,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

What SpaceX employees say

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Benefits

Hours and flexibility

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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