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Flexible Data Annotation Analyst Jobs in Massachusetts

Infotree Global Solutions

Data Engineer-AI/ML

Boston, MA · On-site

$124.40K - $149.40K/yr

Ability to analyze large data sets, perform data visualizations, develop hypotheses, and make insightful recommendations * Experience at developing linguistic annotation projects (e.g. Machine ...

Zoox

Operations Lead - Perception Data Labeling

Boston, MA · On-site

$163K - $223K/yr

Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate ...

Zoox

Operations Lead - Perception Data Labeling

Boston, MA · On-site

$163K - $223K/yr

Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate ...

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Flexible Data Annotation Analyst information

What are the key skills and qualifications needed to thrive as a Flexible Data Annotation Analyst, and why are they important?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a Flexible Data Annotation Analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What is a Flexible Data Annotation Analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.
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Flexible Data Annotation Analyst jobs near you
Remote Financial Analyst - Shape AI's Financial Reasoning

Remote Financial Analyst - Shape AI's Financial Reasoning

Data Annotation

Springfield, MA • Remote

$50 - $60/hr

Full-time, Part-time

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

Job description

Data Annotation is seeking experienced finance professionals for a remote role aimed at improving AI Assistant tools for finance. This flexible position allows you to work part-time or full-time, evaluating AI responses and sharing structured feedback. Qualified candidates should have an advanced degree and expertise in finance-related disciplines, such as Investment Banking or Wealth Management.

The role starts at $50–$60 per hour with the potential for bonuses. #J-18808-Ljbffr

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