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Annotation Math Jobs (NOW HIRING)

$25 - $100/hr

Data annotation: Accurately label and categorize mathematical expressions, equations, proofs, word problems, and other relevant data. * Concept mapping: Connect mathematical concepts and establish ...

... annotation tools. • Design, select, and refine tasks grounded in competition math, for example: • Problem Creation: Develop questions and answers suitable for AI training, in the style and ...

$75 - $90/hr

Ensure mathematical problems are precise, solvable, and aligned with source visuals Annotation, Review & Quality Checks * Annotate technical mathematics tasks according to structured review criteria

Mathematics Expert (Masters/PhDs)

Seattle, WA · Remote

$47.80K - $63.80K/yr

Experience with data annotation, data quality assessment, or evaluation systems * Background in mathematical research, academic publishing, or technical writing * Familiarity with AI tools or machine ...

The Mathematics Department invites applications from individuals with a commitment to excellence in ... annotation tools where appropriate • Monitor attendance and student progress • Maintain ...

Prior experience with data annotation, evaluation systems, or AI training workflows * Background in mathematical research, academic publishing, or technical writing * Experience working across ...

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Annotation Math information

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$22.5K

$58.8K

$94.5K

How much do annotation math jobs pay per year?

As of May 28, 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 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.

What are Annotation Math jobs?

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 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.

More about Annotation Math jobs
What cities are hiring for Annotation Math jobs? Cities with the most Annotation Math job openings:
What states have the most Annotation Math jobs? States with the most job openings for Annotation Math jobs include:

Document Annotation Specialist | $30/hr Remote

Crossing Hurdles

Manhattan, NY • Remote

$30/hr

Full-time

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


Job description

Position: Document Annotation Specialist Type: Contract Compensation: $25 - $30/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities Receive and analyze source PDF documents alongside AI-generated JSON extractions and predefined schemas. Perform field-by-field comparisons between original documents and extracted data, correcting discrepancies and errors. Validate complex data, including mathematical accuracy of line-item totals, summaries, and cross-references.

Ensure data integrity by reviewing, annotating, and verifying hundreds of fields per document with attention to detail. Document and escalate ambiguous cases, collaborating with team members to drive process improvements. Contribute to the enhancement of AI extraction quality by identifying edge cases and annotation challenges.

Requirements Have demonstrated experience in data annotation, document review, QA, or proofreading with a focus on accuracy and precision. Possess strong English reading comprehension, capable of navigating dense, multi-page PDFs, tables, and financial data. Have working knowledge of JSON structure and the ability to verify value placements within nested schemas.

Exhibit advanced attention to detail with a proven ability to check hundreds of fields per document without errors. Be comfortable with basic math operations and validations. Application Process Easy Apply on LinkedIn Participate in resume evaluation & interview stage #J-18808-Ljbffr