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Annotation Math Jobs (NOW HIRING)

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

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 ...

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 ...

Description You will lead an organization of internal domain experts, building scalable annotation ... Minimum Qualifications MS in Computer Science, Statistics, Applied Math or a related field 8+ years ...

You will lead an organization of internal domain experts, building scalable annotation programs ... MS in Computer Science, Statistics, Applied Math or a related field8+ years of people management of ...

Develop and refine annotation guidelines and quality frameworks for evaluation tasks * Conduct ... Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of ...

... annotation. • Own the end-to-end product life cycle from initial ideation to deployment. • ... Strong mathematical foundation in probability, optimization, and linear algebra. • Domain ...

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How much do annotation math jobs pay per year?

As of Jun 18, 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.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians for roles in cryptography, data analysis, and intelligence analysis. These positions often require strong analytical skills, a background in mathematics or related fields, and security clearances. Mathematicians at the FBI may work with specialized tools and require relevant certifications or education levels.

What is the highest paid math job?

The highest paid math jobs typically include roles such as quantitative analysts, data scientists, and actuarial directors, often found in finance, technology, and insurance industries. These positions require advanced skills in statistics, programming, and data analysis, and they can offer salaries exceeding $150,000 annually depending on experience and location.

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 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 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.

How much does data annotation pay for math?

Data annotation jobs for math typically pay between $10 and $20 per hour, depending on the complexity of the tasks and the employer. Rates can vary based on experience, the platform used, and whether the work is freelance or full-time, with some specialized roles offering higher compensation for advanced skills in math or data labeling tools.

Is data annotation a good career?

Data annotation for roles like annotation math involves labeling data to train machine learning models, often requiring attention to detail and familiarity with tools like annotation platforms. It can offer flexible schedules and entry-level opportunities but may have variable pay and limited advancement without additional skills or certifications.

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.
More about Annotation Math jobs
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What states have the most Annotation Math jobs? States with the most job openings for Annotation Math jobs include:
Data Scientist, AIML Data Scientist

Data Scientist, AIML Data Scientist

Apple

Cupertino, CA • On-site

Full-time

Posted 14 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple's ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning & Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling & experimentation, and ad hoc analyses...We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning & optimization with quantitative rigor-all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods.
The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goalsTested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimizationMastery in SQL-based languages, and proficiency in at least one large-scale data languagesStrong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operationsExcellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organizationPassion for AIML and Operations, with a consistent track record of operational results.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976