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Senior Data Annotation Analyst Jobs in New Mexico

Sr. Data Analyst, Online Investigations

House, NM ยท On-site

$77K - $97K/yr

The Senior Data Analyst will be responsible for ad-hoc data request support, and developing and maintaining analytics tools to support Corporate Security, primarily working with the Investigations ...

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

Senior Warehouse Analyst

Carlsbad, NM ยท On-site

$74K - $98K/yr

Senior Warehouse Analyst Work model:On-Site Location:Carlsbad, NM, USA Shift:First shift Job level ... Maintain accurate inventory and operational data within the Warehouse Management System (WMS)

Job Summary Cardinal Health at Home Solutions is seeking a Finance Data Analyst to serve as a ... Ad Hoc Analysis: Assist senior management with in-depth ad hoc analysis to support strategic ...

Sr. Commercial Credit Analyst Nusenda Credit Union is dedicated to excellent member service and ... You will evaluate credit data in determining loan risk. Significant analytical thinking skills are ...

Sr. Commercial Credit Analyst Nusenda Credit Union is dedicated to excellent member service and ... You will evaluate credit data in determining loan risk. Significant analytical thinking skills are ...

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Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What cities in New Mexico are hiring for Senior Data Annotation Analyst jobs? Cities in New Mexico with the most Senior Data Annotation Analyst job openings:

Senior Data Analyst ML, Python & Cloud FP&A

3M HEALTHCARE

Melrose, NM โ€ข On-site

$72K - $92K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Cardinal Health is seeking a Senior Data Analyst to bolster the Financial Insights team across Credit, Rebates, Accounting, and FP&A. The role emphasizes deploying ML models in the Cardinal Health environment, with strong Python and SDLC experience preferred. The position requires collaborating with Shared Services/Cloud teams, offshore/onshore developers, and business users to solve problems and deliver scalable data solutions. #J-18808-Ljbffr