ZipRecruiter

Log In

1

Annotation Math Jobs (NOW HIRING)

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 ...

Sourceability

Principal NLP Scientist

Austin, TX

Data preparation, annotation strategy, and labeling quality * Model evaluation, monitoring, and ... Mathematics, Data Science, or a closely related technical field * 8+ years of professional ...

NBCUniversal

Staff MLOps Engineer

Work with partner ML and Annotation engineers and TPMs to spec out infrastructure and training ... Required : • Master's degree in Computer Science, Engineering, Mathematics, or a related field ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

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

The Crom Corporation

Drafter II

Gainesville, FL · On-site

Proficient in 2D and basic 3D AutoCAD (paper space/model space and annotation scales). * High motivation level and strong attention to detail. * Strong mathematical skills. * Strong communication and ...

Figure

Helix AI Engineer, Perception

San Jose, CA · Hybrid

$200K - $400K/yr

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

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $400K/yr

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

The Crom Corporation

Drafter II

Gainesville, FL · On-site

Proficient in 2D and basic 3D AutoCAD (paper space/model space and annotation scales). * High motivation level and strong attention to detail. * Strong mathematical skills. * Strong communication and ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

Provide insights to data collection and annotation and collaborate with the data team for in-house ... MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in ...

next page

Showing results 1-20

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 Jul 22, 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 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.

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
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:
What job categories do people searching Annotation Math jobs look for? The top searched job categories for Annotation Math jobs are:
Annotation Math jobs near you
Infographic showing various Annotation Math job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.
Member of Technical Staff, Data & ML Infrastructure for Video Models

Member of Technical Staff, Data & ML Infrastructure for Video Models

Cantina

Remote

$200K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 hours ago

Job description

About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
We are looking for a new Member of Technical Staff to build and scale the data pipelines behind our large video generation models. This role is focused on collecting large amounts of relevant video data, preparing high-quality training samples, and developing robust preprocessing, filtering, and parsing workflows. You'll orchestrate annotation pipelines across platforms such as MTurk and own the full lifecycle of training data, from raw ingestion to clean, model-ready samples that directly drive quality improvements. This role sits at the intersection of data engineering and ML research, making it central to how we turn messy real-world data into the fuel that moves our models forward.
What You'll Do:
  • Build and maintain data pipelines for large video generation models, including data ingestion, parsing, filtering, preprocessing, and dataset curation at scale, using tools such as AWS S3 and DynamoDB.
  • Design and run annotation workflows across platforms such as MTurk, Prolific, and Mechanical Turk, including task design, quality control, and label validation.
  • Train, evaluate, and improve smaller supporting models used for data filtering, quality assessment, preprocessing, or other parts of the ML pipeline.
  • Partner closely with research and engineering teams to turn experimental workflows into scalable, repeatable systems that support model training and evaluation.
  • Own data quality across the pipeline by identifying bottlenecks, failure modes, and low-quality sources, and continuously improving tooling and processes.
  • Build internal tools and automation that make it easier to prepare datasets, launch annotation jobs, monitor outputs, and support model development end to end.
  • Drive larger pipeline projects from start to finish, such as new dataset creation efforts or upgrades to labeling and preprocessing infrastructure.
  • Work within a Kubernetes-based training infrastructure, ensuring datasets are properly prepared, formatted, and delivered to training clusters.
  • Profile and optimize research model inference scripts used in preprocessing steps, ensuring that model-driven filtering and transformation stages run within practical time and cost constraints when applied to large-scale raw data.

What You'll Bring:
  • 3+ years of experience in machine learning, applied ML, data pipelines, or related engineering roles, ideally working on large-scale multimodal, video, or vision-based systems.
  • Strong programming skills in Python and solid experience building reliable data processing and preprocessing pipelines for ML workflows.
  • Hands-on experience preparing training data for ML models, including parsing, filtering, dataset curation, quality control, and large-scale data handling using tools such as AWS S3 and DynamoDB.
  • Familiarity with annotation and labeling workflows, including task design, vendor or crowd-platform orchestration such as MTurk or Prolific, and methods for ensuring label quality.
  • Experience working with Kubernetes for orchestrating distributed workloads, including data preprocessing, pipeline execution, and dataset delivery to training clusters.
  • Comfort working across cloud and on-demand compute environments such as AWS and RunPod, with the ability to port and optimize pipelines across infrastructure.
  • Familiarity with distributed data processing frameworks and experience designing systems that operate reliably at scale across many nodes or workers.
  • Working knowledge of PyTorch and the broader deep learning stack, with the ability to read, debug, and optimize research model inference code for use in production preprocessing pipelines.
  • Ability to work cross-functionally with research and engineering teams and translate experimental ideas into robust, scalable systems.
  • Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field; experience in generative video, computer vision, or multimodal ML is strongly preferred.
  • Bonus: Experience training, evaluating, or fine-tuning smaller ML models used for classification, filtering, ranking, quality assessment, or other supporting tasks in an ML pipeline.

Compensation:
The anticipated annual base salary range for this role is between $200,000-$260,000 (€170,000-€225,000). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits for U.S.-based roles:
  • Competitive salary and generous company equity
  • Medical, dental, and vision insurance - 99.99% of premiums covered by Cantina
  • 42 days of paid time off, including:
    • 15 PTO days
    • 10 sick days
    • 15 company holidays
    • 2 floating holidays
  • Generous parental leave & fertility support
  • 401(k) retirement savings plan
  • Lifestyle spending account - $500/month to use however you'd like
  • Complimentary lunch and snacks for in-office employees
  • One Medical membership, and more!

Apply