Medium
Filevine is forging the future of legal work with cloud-based workflow tools. We have a reputation for intuitive, streamlined technology that helps professionals manage their organization and serve their clients better. We’re also known for our team of extraordinary and passionate professionals who love working together to help organizations thrive. Our success has catapulted Filevine to the forefront of our field—we are ranked as one of the most innovative and fastest-growing technology companies in the country by both Deloitte and Inc.
Our Mission Filevine is building the seamless intersection between legal and business by creating a world‑class platform to help professionals scale.
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.
Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
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Our Mission Filevine is building the seamless intersection between legal and business by creating a world‑class platform to help professionals scale.
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.
Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
#J-18808-Ljbffr