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Filevine is a top-rated cloud-based case management solution for small and midsize legal firms and legal professionals.
The Role
The Machine Learning Data Annotator produces high-quality annotations for AI-driven products, ensuring data accuracy and collaborating with teams for continuous improvement.
Summary Generated by Built In
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
We are seeking a Machine Learning Data Annotator to support the development of AI-driven products by producing high-quality annotations for machine learning tasks. These annotated datasets will be used across the ML pipeline, including model training, evaluation, retrieval, and quality analysis. The role also includes performing error analysis of model outputs, comparing the performance of competing approaches, collaborating with cross-functional teams to improve datasets and workflows, and documenting issues and recommendations to support continuous improvement.
This role is essential for ensuring data accuracy, consistency, and completeness, directly impacting the performance of our AI-driven products.
This is a full-time independent contractor position.
Responsibilities
- Annotate and label data in accordance with project-specific annotation definitions and guidelines
- Ensure annotation accuracy, consistency, and adherence to the defined scope
- Apply an appropriate level of detail when labeling structured data, text spans, or bounding boxes
- Identify and flag ambiguities, edge cases, and data quality issues
- Flag cases that require clarification or further context
- Collaborate with machine learning engineers to optimize annotation specifications and workflows
- Adapt to guideline updates and iterative task refinements
- Maintain confidentiality of sensitive and proprietary data
Qualifications
- Strong interest in machine learning, AI, and data-driven work
- Strong attention to detail and ability to follow guidelines precisely
- Ability to make consistent judgments when working with ambiguous data
- Comfortable communicating and collaborating in a team environment
- Ability to work independently and manage time efficiently
- Proficiency in English, both written and spoken
- Prior experience with data annotation or related technical tasks is highly desirable
This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction.
This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements
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Skills Required
- Strong interest in machine learning, AI, and data-driven work
- Strong attention to detail and ability to follow guidelines precisely
- Prior experience with data annotation or related technical tasks
- Proficiency in English, both written and spoken
Filevine Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Filevine and has not been reviewed or approved by Filevine.
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Healthcare Strength — Health coverage is described as covering the major bases (medical, dental, vision) and is often framed as decent quality. In some cases, premiums and copays are portrayed as relatively favorable, suggesting tangible value from the plans.
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Parental & Family Support — Paid parental leave is positioned as a standard, clearly offered benefit. The presence of parental leave alongside disability coverage signals baseline family-support provisions typical of growth-stage tech employers.
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Fair & Transparent Compensation — Compensation is sometimes framed as fair or reasonable relative to role expectations, with technical roles in particular appearing closer to market-aligned ranges. This creates pockets where pay is perceived as competitive even if not consistently top-of-market across the company.
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The Company
What We Do
Filevine is case management software built for and inspired by real attorneys. As a fully-featured suite of tools, it comes ready to manage every part of a moving case. Assign tasks, upload files or images, monitor staff productivity, and communicate with your client directly from within their case file. Our software is built on the truth that every law firm functions differently. That’s why Filevine is so customizable. Build new case-type templates, design automatic workflows, and receive customized reports on a schedule that fits your needs. Accessing your information is never a problem, because Filevine is hosted on The Cloud. To ensure security, your law firm’s data is protected through state-of-the-art encryption on redundant servers. All you need to get started is an internet connection and your favorite web browser. Learn more at filevine.com.
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