South Burlington, VT · Remote
Prior experience in data labeling, annotation, research, writing, or operations is helpful but not ... Remote, flexible contract work * Clear guidelines and training * Performance feedback and ...
South Burlington, VT · Remote
Prior experience in data labeling, annotation, research, writing, or operations is helpful but not ... Remote, flexible contract work * Clear guidelines and training * Performance feedback and ...
Burlington, VT · Remote
Prior experience in data labeling, annotation, research, writing, or operations is helpful but not ... Remote, flexible contract work * Clear guidelines and training * Performance feedback and ...
Burlington, VT · Remote
Prior experience in data labeling, annotation, research, writing, or operations is helpful but not ... Remote, flexible contract work * Clear guidelines and training * Performance feedback and ...
Belmont, VT · Remote
Prior experience in data labeling, annotation, research, writing, or operations is helpful but not ... Remote, flexible contract work * Clear guidelines and training * Performance feedback and ...
Belmont, VT · Remote
Prior experience in data labeling, annotation, research, writing, or operations is helpful but not ... Remote, flexible contract work * Clear guidelines and training * Performance feedback and ...
Montpelier, VT · On-site
$120 - $170/hr
... training and inference software stacks, running representative workloads, and analyzing system ... data-driven insights that explain system behavior beyond benchmark results. A key part of the role ...
Montpelier, VT · On-site
$120 - $170/hr
... training and inference software stacks, running representative workloads, and analyzing system ... data-driven insights that explain system behavior beyond benchmark results. A key part of the role ...
$50K - $112K/yr
Within our Internal Firm Services practice, you will apply data, algorithms, and software ... training and/or progressively responsible work experience in Engineering with AI and Machine ...
$50K - $112K/yr
Within our Internal Firm Services practice, you will apply data, algorithms, and software ... training and/or progressively responsible work experience in Engineering with AI and Machine ...
... data workflows and computational challenges. * Understanding of distributed training, model scaling ... Experience applying AI/ML methods to climate, atmospheric, or earth system science problems.
... data workflows and computational challenges. * Understanding of distributed training, model scaling ... Experience applying AI/ML methods to climate, atmospheric, or earth system science problems.
Cambridge, VT · On-site
... AI adoption across the organization. • Architect and oversee scalable ML pipelines for data ingestion, feature engineering, model training, validation, and inference on AWS cloud and Databricks ...
Cambridge, VT · On-site
... AI adoption across the organization. • Architect and oversee scalable ML pipelines for data ingestion, feature engineering, model training, validation, and inference on AWS cloud and Databricks ...
Burlington, VT · On-site
$27 - $42/hr
Supporting proof-of-concept efforts, data exploration, and solution viability testing to validate ... Delivering internal and client training on GenAI capabilities and use cases. * Continuously ...
Burlington, VT · On-site
$27 - $42/hr
Supporting proof-of-concept efforts, data exploration, and solution viability testing to validate ... Delivering internal and client training on GenAI capabilities and use cases. * Continuously ...
Burlington, VT · On-site
$140 - $200/hr
Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to ...
Burlington, VT · On-site
$140 - $200/hr
Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.
As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.
To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.
The top searched job categories for Data Annotation Ai Trainer jobs in Vermont are:
Cities in Vermont with the most Data Annotation Ai Trainer job openings:
South Burlington, VT • Remote
Full-time
Posted 17 days ago
Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
Who We're Looking ForDetail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.
RequirementsReady to apply? Join a team helping build the data foundation behind better technology.
Workada is an Equal Opportunity Employer.
