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60 Dataannotation Document Review Attorney Jobs Hiring in WI

DataAnnotation

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

Econometrician - AI Trainer

Wausau, WI · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

Physicist - AI Trainer

Oregon, WI · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

Psychometrician - AI Trainer

Oregon, WI · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

Physicist - AI Trainer

Wausau, WI · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

Epidemiologist - AI Trainer

Wausau, WI · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

DataAnnotation

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Write clear technical explanations and well-documented analytical code. Provide feedback that ...

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All JobsDataannotation JobsDataannotation Jobs in WisconsinJobs at Dataannotation Document Review Attorney in Wisconsin

DataAnnotation Jobs Information

What are the key skills and qualifications needed to thrive as a Document Review Attorney, and why are they important?

To thrive as a Document Review Attorney, you need a Juris Doctor (JD) degree, an active law license, and a keen understanding of litigation and legal terminology. Familiarity with e-discovery platforms like Relativity, Concordance, or Logikcull is typically required, along with proficiency in document management systems. Strong attention to detail, analytical thinking, and the ability to work efficiently under deadlines are crucial soft skills for this role. These competencies ensure accurate, timely identification of relevant case information while maintaining compliance with legal standards and client expectations.

What are some common challenges faced by Document Review Attorneys, and how can they be managed effectively?

Document Review Attorneys often face the challenge of managing large volumes of documents within tight deadlines, which can lead to long hours and repetitive tasks. Maintaining accuracy while quickly identifying relevant information is crucial, as errors can impact the outcome of a case. Adopting strong organizational skills, utilizing advanced review software, and regularly communicating with team members can help manage these challenges effectively. Additionally, staying current with best practices in e-discovery can improve efficiency and job satisfaction.

What does a Document Review Attorney do?

A Document Review Attorney is a legal professional responsible for analyzing documents relevant to a case or investigation, often as part of the discovery process in litigation. Their main tasks include reviewing emails, contracts, and other documents to identify privileged, confidential, or responsive information. They help ensure that only appropriate documents are disclosed to opposing parties and that sensitive information is protected. Document review attorneys often use specialized software and work in teams, especially on large cases involving substantial amounts of data.

What is the difference between Document Review Attorney vs Contract Attorney?

AspectDocument Review AttorneyContract Attorney
CredentialsJ.D. and bar admissionJ.D. and bar admission
Work EnvironmentLaw firms, legal service providers, or corporate legal teamsLaw firms, corporate legal departments, or consulting firms
Industry UsageLegal document review projects, e-discoveryDrafting, reviewing, and negotiating contracts
Search IntentComparing roles in legal document reviewUnderstanding contract-related legal work

While both roles require a J.D. and bar admission, a Document Review Attorney primarily focuses on reviewing legal documents during e-discovery or litigation processes. In contrast, a Contract Attorney specializes in drafting, analyzing, and negotiating contracts. The roles often overlap in legal credentials and work environment but differ in daily responsibilities and industry focus.

What are the most popular jobs at Dataannotation in Wisconsin?
What are the most popular states for Dataannotation Document Review Attorney Jobs?
Infographic showing various Document Review Attorney job openings at Dataannotation in Wisconsin as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Atmospheric Scientist - AI Trainer

Atmospheric Scientist - AI Trainer

DataAnnotation

Wausau, WI • On-site, Remote

$50 - $100/hr

Full-time

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

Job description

Overview Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference. Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).

Fluency in English (native or bilingual level) with strong writing skills. A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly starting at $50-$100+/hr, with bonuses for high-quality and high-volume work.

Impact: help shape the future of AI systems built to reason about data and analytics. Note: This job description maintains focus on responsibilities, qualifications, and benefits for the role. #J-18808-Ljbffr

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