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Senior Data Annotation Analyst Jobs in Saco, ME (NOW HIRING)

Unum UK

Sr. Data Engineer - CX Analytics

Portland, ME · Remote

$117K - $140K/yr

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will design, build, and maintain data solutions that enable BI ...

Unum Group

Sr. Data Engineer - CX Analytics

Portland, ME · On-site

$117K - $140K/yr

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will design, build, and maintain data solutions that enable BI ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis ...

Collabera LLC

Software Engineer

Westbrook, ME · On-site

$50 - $60/hr

... analysis. * Predicates enforce data contracts: they state what a method must guarantee about the ... Annotation data platform evolution. * Extend a shipped canonical schema (Avro) and adapter layer ...

WEX

Senior Financial Analyst, FP&A

Portland, ME · On-site

$104K - $119K/yr

About team / role WEX is seeking a Senior Financial Analyst to support the Corporate FP&A team ... Maintain adherence to internal controls, data accuracy standards, and financial governance ...

eNett

Senior Financial Analyst, FP&A

Portland, ME

$104K - $119K/yr

About team / role WEX is seeking a Senior Financial Analyst to support the Corporate FP&A team ... Maintain adherence to internal controls, data accuracy standards, and financial governance ...

WEX, Inc.

Senior Financial Analyst, FP&A

Portland, ME · On-site

$104K - $119K/yr

About team / role WEX is seeking a Senior Financial Analyst to support the Corporate FP&A team ... Maintain adherence to internal controls, data accuracy standards, and financial governance ...

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All JobsData Annotation Analyst JobsSenior Data Annotation Analyst JobsSenior Data Annotation Analyst Jobs in Saco, ME

Senior Data Annotation Analyst information

See Saco, ME salary details

$57.6K

$103.9K

$141.9K

How much do senior data annotation analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data annotation analyst in Saco, ME is $103,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $113,600.00 per year, depending on experience, location, and employer.

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.

Senior Data Annotation Analyst jobs near you

Jr. Data Scientist 00021

West Coast Consulting

Westbrook, ME

$45 - $48/hr

Full-time

Medical, Life

Re-posted 3 days ago

Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications

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