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Contract Data Annotation Jobs in Colorado (NOW HIRING)

Alignerr

Medical Science Liaison (MSL)

Denver, CO · Remote

Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll Do * Review and ... Experience with data annotation, content evaluation, or quality assurance workflows * Familiarity ...

Alignerr

Oncology Clinical Researcher

Denver, CO · Remote

Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll Do * Design and ... Prior experience with data annotation, data quality assurance, or AI evaluation systems

Alignerr

Business Performance Analyst

Denver, CO · Remote

Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll Do * Lead and ... Experience with data annotation, data quality assurance, or evaluation systems * Background in case ...

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Contract Data Annotation information

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.

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 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.

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Contract Data Annotation jobs near you
Remote equity research analyst - ai trainer ($50-$60 per hour)

Remote equity research analyst - ai trainer ($50-$60 per hour)

Data Annotation

Federal Heights, CO • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

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

Job description

Data Annotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you're looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

In this role, you might: Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or Ph D (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or Ph D is is preferred but not required Note: Payment is made via Pay Pal.

We will never ask for any money from you. Pay Pal will handle any currency conversions from USD. This is an independent contract position.

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