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Part Time Ai Rater Jobs in Portland, ME (NOW HIRING)

CASHIER (PART TIME)

Saco, ME ยท On-site

$17.50/hr

The advertised program is an AI recruiting assistant that helps you apply to jobs with Compass ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

CASHIER (PART TIME)

Saco, ME ยท On-site

$17.50/hr

The advertised program is an AI recruiting assistant that helps you apply to jobs with Compass ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

CASHIER

Saco, ME ยท On-site

$17.50/hr

Schedule : Part time schedule. Monday through Friday, 10:00 am to 2:00 pm. Further details upon ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

DISHWASHER (FULL TIME)

Saco, ME ยท On-site

$17.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Both full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Both full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Both full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Both full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

FOOD SERVICE WORKER

Saco, ME ยท On-site

$17.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Both full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

DISHWASHER

Saco, ME ยท On-site

$17.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Both full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

Part Time Ai Rater information

What is a part time AI rater?

Part-time AI raters are individuals who work remotely to evaluate and provide feedback on the performance of artificial intelligence systems, such as search engines or virtual assistants. They follow specific guidelines to rate the relevance and accuracy of results produced by AI algorithms, helping to improve the quality and reliability of these systems. Typically, this role offers flexible hours and does not require advanced technical skills, but attention to detail and good communication skills are important. Part-time AI raters often work for companies that develop or use AI-powered products and services.

What are the key skills and qualifications needed to thrive as a part time AI rater?

To thrive as a Part Time AI Rater, you need strong analytical skills, attention to detail, and proficiency in written English, often supported by at least a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required, and some employers may require passing an initial qualification exam. Effective time management, reliability, and the ability to follow detailed guidelines are critical soft skills for this remote role. These skills ensure consistent, high-quality data labeling and feedback, which are essential for improving AI systems' accuracy and relevance.

What are some common challenges faced by part time AI raters, and how can they be addressed?

Part-time AI raters often encounter challenges such as maintaining consistency in their evaluations, understanding complex guidelines, and managing repetitive tasks. To address these, it's important to thoroughly review training materials, ask clarifying questions when unsure, and take regular breaks to maintain focus. Effective communication with team leads and participating in feedback sessions can also help improve accuracy and efficiency in the role.

What is the difference between Part Time Ai Rater vs Part Time Content Moderator?

AspectPart Time Ai RaterPart Time Content Moderator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, remoteOnline, remote or on-site
Industry UsageTech companies, AI developmentSocial media, online platforms
Job FocusEvaluating AI outputs for accuracyMonitoring and moderating user-generated content

Part Time Ai Raters primarily evaluate AI responses to improve machine learning models, focusing on AI output accuracy. In contrast, Part Time Content Moderators review user-generated content to ensure community guidelines are followed. While both roles are remote and require similar skills, their main responsibilities and industry applications differ.

What are popular job titles related to Part Time Ai Rater jobs in Portland, ME?

For Part Time Ai Rater jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Part Time Ai Rater jobs in Portland, ME look for?

The top searched job categories for Part Time Ai Rater jobs in Portland, ME are:

What cities near Portland, ME are hiring for Part Time Ai Rater jobs?

Cities near Portland, ME with the most Part Time Ai Rater job openings:

Infographic showing various Part Time Ai Rater job openings in Portland, ME as of August 2026, with employment types broken down into 100% Part Time. Highlights an 71% In-person, 6% Hybrid, and 23% Remote job distribution.

Part-Time Faculty - Nursing Accelerated Online Programs

Maine's Public Universities

Portland, ME โ€ข On-site

Part-time

Posted 25 days ago


Job description


The School of Nursing at the University of Southern Maine invites applications to a Part-time Faculty position in the online Accelerated Nursing Program.
We are seeking instructor to teach the following courses:
Healthcare Informatics & AI Literacy in Nursing - This course prepares students to critically engage with healthcare informatics, digital health technologies, and artificial intelligence as essential components of contemporary nursing practice. Emphasis is placed on data literacy, ethical use of technology, clinical decision support, interoperability, privacy and security, and the nurse's leadership role in digital transformation. Students analyze real-world applications of informatics and AI across care settings and develop skills to evaluate, select, and advocate for technologies that support person-centered, equitable, and safe care.
Quality Improvement and Patient Safety - This course prepares RN-BSN students to apply quality improvement (QI) and patient safety principles to enhance care processes and outcomes across healthcare settings. Students examine improvement science, safety culture, high-reliability practices, human factors, and measurement strategies used to identify gaps in care and reduce harm. Learners use practical tools (e.g., PDSA cycles, process mapping, root cause analysis, and prospective risk assessment) to design data-informed improvement approaches that are ethical, equitable, and feasible within real-world nursing workflows. Emphasis is placed on interprofessional collaboration, transparent communication, and professional accountability in sustaining safer systems of care.
Health Policy and Advocacy - This course examines the role of professional nurses in shaping health policy and engaging in advocacy to improve healthcare delivery, access, and equity. RN-BSN students analyze how policy, ethics, and economic forces influence healthcare systems and patient outcomes at local, state, national, and global levels. Emphasis is placed on developing policy literacy, ethical reasoning, and advocacy strategies that enable nurses to influence health policy and systems change. The course prepares nurses to participate as informed advocates and leaders in advancing equitable, person-centered healthcare.
Population Health, Community & Global Perspectives - This course examines population health from local, national, and global perspectives, emphasizing the professional nurse's role in promoting health equity and addressing social, structural, and environmental determinants of health. RN-BSN students analyze community and population-level data, assess health disparities, and explore evidence-informed strategies for disease prevention, health promotion, and policy advocacy. The course prepares nurses to collaborate with communities and interprofessional partners to improve population health outcomes across diverse settings.
Leadership, Systems Thinking and Care Coordination (NUR 474) - This course provides the RN student with an overview of the theoretical frameworks of leadership and management roles in nursing with a focus on organizational analysis, integration of decision-making, problem-solving, and critical thinking skills. It will facilitate investigation of leadership and change theories, conflict management, and quality improvement in the delivery of healthcare services.
Chronic Illness Care - In this course, learners will explore the effect of chronic illness on individuals, families, healthcare professionals, and healthcare systems. Students will assess and propose evidence-based medical and self-management chronic illness care strategies.
Key job responsibilities include delivering content to meet pre-determined course objectives, grading and evaluating assignments and managing the course via our learning management system, Brightspace.
Part-time faculty members are paid on a credit hour basis based on prior teaching experience, as determined by the Part-Time Faculty Association of Maine (PATFA), an affiliate of the national American Federation of Teachers (AFT) union. To view the Credit Hour Rates for AY 2026, please refer to the PATFA Contract. Eligible part-time faculty members may elect certain benefits provided by the University of Maine System. In addition, The Center for Academic Innovation provides learning design consulting and faculty development opportunities to help faculty to create engaging programs, courses and lesson plans grounded in evidence-based best practices for every modality.
The University of Southern Maine is a vibrant academic community located in the greater Portland, Maine area, including campuses in Portland, Gorham, Lewiston, and online. USM is part of the University of Maine System and offers a comprehensive array of undergraduate and graduate programs, emphasizing hands-on learning, community engagement, and interdisciplinary collaboration. With a highly engaged student-centered learning environment, USM is a steward of higher education, helping drive the economic, cultural, and civic life in the communities where our campuses are located and beyond. USM is committed to providing expanded access to high-quality education that elevates economic opportunity and contributes significantly to the vitality of a diverse society. To learn more about USM, visit About Our University.
The University of Southern Maine fosters a welcoming and supportive campus environment that respects and appreciates varied perspectives, enhancing teaching, learning, personal growth, and overall institutional achievement. We welcome applications from candidates of all backgrounds who share our dedication to academic excellence and the enrichment of our community.
We are dedicated to our Service Promise, Student Focused Every Day and seek a team member who embraces this commitment and upholds our core values of Respect & Care, Integrity, Equity, and Responsiveness.
Required Qualifications:
  • BSN or BS in Nursing from an accredited program
  • Current active Maine RN license or relevant nursing compact license
  • Able to meet employment criteria, including background check, immunizations, BLS/CPR certification, and current TB for clinical teaching
  • Expertise in the course subject matter

How to apply:
Click on the 'Apply Now' button below or visit our USM Careers Page and submit the following:
  • Cover letter
  • Curriculum vitae or resume
  • Finalist candidates will be asked to provide contact information for references

We will begin reviewing applications immediately.
This position will remain open until filled.
We are not able to consider applicants who require Visa sponsorship support.
Appropriate background screening will be conducted for the successful candidate.
The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling 207.581.1226, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator.
Clery Act:
The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish, and distribute an Annual Security Report (ASR), and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University's crime statistics for the past three calendar years; and disclosures regarding the University's current campus security policies. View the University's Annual Security Report (PDF). If you wish to have a paper copy of the ASR or need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact our Public Safety Office at 207.780.5211.