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Senior Data Annotation Analyst Jobs in Maine (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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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 are the most commonly searched types of Data Annotation Analyst jobs in Maine? The most popular types of Data Annotation Analyst jobs in Maine are:
What cities in Maine are hiring for Senior Data Annotation Analyst jobs? Cities in Maine with the most Senior Data Annotation Analyst job openings:

Senior Investment Data Analyst (Boston, MA)

Colby College

Waterville, ME • On-site

$85K - $108K/yr

Full-time

Posted 27 days ago


Colby College rating

7.2

Company rating: 7.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

382nd of 617 rated colleges and universities


Job description

Job DescriptionDepartment:Investment OfficePay Rate Type:SalaryEmployee Type:Job Summary:

IMPORTANT: This is NOT a remote position and will be located onsite in our Boston, MA office.

The Senior Investment Data Analyst serves as a key member of the Colby College Investment Office, supporting the management of the College's endowment through advanced investment data management, portfolio analytics, reporting, and technology-driven process improvements.

Reporting to the Chief Investment Officer, this position partners closely with the investment team to develop automated reporting solutions, enhance investment and operational workflows, and deliver meaningful analysis that supports investment decision-making.

The Senior Investment Data Analyst serves as a primary technical resource for investment data and reporting, integrating information across multiple platforms, developing automated workflows and analytical tools, and identifying opportunities to improve processes and data quality. This position exercises a high degree of independent judgment in the execution of assigned responsibilities while working collaboratively with Investment Office leadership, who retain final investment and operational decision-making authority.

The hiring range for this position is $94,000 - $124,800.

Essential Functions

To be successful in this position, an individual should be able to perform the essential duties and bring the education, experience, knowledge, skills, and abilities that support the role. This list of duties is intended to be representative rather than exhaustive, and additional responsibilities may be assigned as needed.

Investment Data Management and Technology
  • Independently design, develop, implement, and continuously improve automated workflows that enhance the collection, organization, integrity, and accessibility of investment data.

  • Manage and integrate data across portfolio management systems, CRM platforms, investment reporting tools, and other technology applications.

  • Develop, maintain and enhance dashboards, reporting tools, and analytical models that improve operational efficiency and investment reporting.

  • Evaluate emerging technologies, automation tools, and artificial intelligence applications, recommending and implementing approved enhancements that improve Investment Office workflows.

  • Serve as the primary technical resource for investment data management, reporting automation, and analytical processes.

Portfolio Analytics and Investment Reporting
  • Own the preparation, maintenance, and continuous enhancement of recurring and ad hoc reports for the Investment Office, Investment Committee, and Board of Trustees.

  • Monitor and analyze portfolio performance through return attribution, exposure analysis, holdings analysis, value creation metrics, benchmarking, and risk assessment.

  • Maintain investment benchmarks, performance databases, and portfolio analytics to ensure accuracy, consistency, and data integrity.

  • Prepare analytical presentations and reporting materials that support portfolio monitoring and strategic investment discussions.

Investment Research and Analysis
  • Independently conduct quantitative and qualitative research on existing investment managers, prospective investment opportunities, and broader market trends.

  • Support investment due diligence through financial analysis, data collection, and research.

  • Complete analytical projects related to portfolio construction, investment strategies, and emerging market opportunities.

  • Present findings and recommendations to Investment Office leadership to support informed investment decisions.

Operational Excellence and Collaboration
  • Lead assigned initiatives that improve investment reporting, operational workflows, and data quality.

  • Identify opportunities to streamline processes and recommend technology-based solutions that improve efficiency and effectiveness.

  • Implement approved process improvements while ensuring appropriate documentation and data governance practices.

  • Collaborate closely with Investment Office leadership to support ongoing operational and analytical initiatives.

  • Provide guidance and technical support to interns and assist with recruiting initiatives as appropriate.

Professional Engagement and Department Support
  • Represent the Investment Office at industry conferences, educational programs, and professional meetings, as appropriate.

  • Maintain expertise in investment technology, financial analytics, automation tools, and industry best practices.

  • Identify opportunities to improve Investment Office reporting, technology utilization, and analytical capabilities through continuous learning and innovation.

Education and/or Experience:

  • Bachelor's degree in Data Science/Analytics, Statistics, Computer Science, Mathematics, Business Analytics, Finance, Economics or a related quantitative field required.

  • Three to five years of progressively responsible experience in investment operations, investment data analytics, financial analysis, business intelligence, or a closely related field.

  • Experience working with investment reporting systems, portfolio management platforms, or financial data environments preferred.

Knowledge, Skills and Abilities:

  • Demonstrated ability to independently manage analytical projects and technical initiatives..

  • Strong experience structuring, analyzing, interpreting, and validating complex datasets.

  • Proficiency in at least one programming language and experience with business intelligence, automation, and data visualization tools.

  • Strong understanding of investment operations, portfolio analytics, financial markets, and investment reporting.

  • Demonstrated ability to identify process improvement opportunities and implement technical solutions with minimal day to day direction.

  • Excellent analytical, quantitative, and problem solving skills.

  • Strong project management and organizational skills with exceptional attention to detail.

  • Excellent written, verbal, and interpersonal communication skills.

  • Ability to effectively balance independent work with collaboration across a small, high-performing team.

  • Demonstrated initiative, intellectual curiosity, professionalism, integrity, sound judgment, and discretion in handling confidential information.

Physical/Mental Demands

The physical demands and work environment characteristics described herein are representative of those that must be met by an employee to successfully perform essential functions of this position and/or may be encountered while performing essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • To perform this role effectively, an employee is expected to treat all data and documents in a confidential and professional manner.

  • This position involves working with a variety of timelines, including some that require quick turnaround and responsiveness to urgent needs.

  • In this role, the employee will interact with other Colby staff as well as outside constituents. Presenting oneself in a professional, respectful, collaborative and thoughtful manner at all times is an important part of the role.

  • This position includes movement throughout office spaces, hallways, and meeting rooms.

  • Daily work will involve extended use of a computer, including keyboard and mouse

  • Vision requirements for this position include the ability to see clearly at close and far distances and to adjust focus as needed.

  • The work environment is dynamic and engaging, often involving multiple tasks and projects that require shifting focus and strong organizational skills..

  • The noise level is generally moderate.

Colby College supports the Americans with Disabilities Act and is committed to providing reasonable accommodations to enable individuals with disabilities to perform the essential functions of the position.

To Apply:

Interested candidates should apply electronically by clicking the "Apply Now" button on the Colby College website. Please upload a cover letter and resume to your application.


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