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Contract Data Annotation Jobs (NOW HIRING)

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

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Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
More about Contract Data Annotation jobs
What cities are hiring for Contract Data Annotation jobs? Cities with the most Contract Data Annotation job openings:
What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
What states have the most Contract Data Annotation jobs? States with the most job openings for Contract Data Annotation jobs include:
Infographic showing various Contract Data Annotation job openings in the United States as of June 2026, with employment types broken down into 68% Full Time, 26% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Mathematician - Formal Proof & AI Foundations (Remote Contract)

Alignerr

Remote

$170 - $200/hr

Contractor

Posted 10 days ago


Job description

Mathematician - Formal Proof & AI Foundations (Remote Contract)
About the Role
What if your deep knowledge of formal mathematics could directly shape how the most advanced AI systems in the world reason, prove, and think? We're looking for mathematicians with a passion for rigorous proof and formal systems to help build the mathematical foundations that frontier AI depends on.
This is a fully remote, flexible contract role working at the intersection of pure mathematics, logic, and cutting-edge AI research. If you live and breathe formal proof - and especially if you know your way around Lean 4 - this is a rare opportunity to do deeply meaningful technical work on your own schedule, from anywhere in the UK.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week

What You'll Do
  • Formalize advanced mathematical arguments and theorems in Lean 4, spanning a wide range of mathematical disciplines
  • Contribute to the growth and quality of large-scale formal mathematical libraries, including mathlib
  • Construct clean, readable, and well-structured formal proofs that translate informal mathematical reasoning into rigorous machine-checkable form
  • Audit and verify existing formal proofs for correctness, completeness, and logical integrity
  • Work at the frontier of AI research, helping train the next generation of mathematically capable language models

Who You Are
  • Hold a Master's degree or PhD in Mathematics or a closely related field
  • Possess a strong background in rigorous mathematical proof writing and logical reasoning
  • Have hands-on experience with formal proof assistants -
    Lean 4 strongly preferred
  • Can fluently translate informal mathematical ideas into structured, machine-verifiable formal proofs
  • Self-motivated and comfortable working independently in a remote, asynchronous environment

Nice to Have
  • Prior experience with proof verification, theorem proving, or mathematical formalization projects
  • Familiarity with mathlib or other large-scale formal mathematical libraries
  • Background in data annotation, data quality evaluation, or AI training workflows
  • Experience across multiple mathematical domains - topology, algebra, analysis, logic, and beyond

Why Join Us
  • Work on frontier AI research alongside the world's leading AI labs and research teams
  • Fully remote and flexible - structure your work around your life, not the other way around
  • Freelance autonomy with the intellectual depth of meaningful, high-stakes technical work
  • Contribute directly to formal mathematical libraries that will outlast any single project
  • Gain rare exposure to how cutting-edge large language models are built and trained
  • Potential for ongoing work and contract extension as new projects launch