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$30.5K

$55.6K

$72K

How much do micro credential jobs pay per year?

As of Jun 7, 2026, the average yearly pay for micro credential in the United States is $55,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $60,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Micro-Credential Program Manager, and why are they important?

To thrive as a Micro-Credential Program Manager, you need expertise in curriculum development, educational assessment, and a solid understanding of competency-based learning frameworks, typically supported by a background in education or instructional design. Familiarity with learning management systems (LMS), digital badging platforms, and relevant certification processes is essential. Strong project management, stakeholder engagement, and communication skills set top candidates apart. These skills ensure effective program design, delivery, and recognition, enabling learners to gain valuable, industry-relevant micro-credentials.

How do micro credential coordinators typically collaborate with academic departments and industry partners to align course offerings with workforce needs?

Micro credential coordinators often work closely with academic departments to identify emerging skill gaps and develop targeted short courses or certificates. They also engage with industry partners to ensure that the curriculum remains relevant and meets current workforce demands. This collaboration may involve regular meetings, feedback sessions, and joint review of course outcomes to adapt programs as needed. As a coordinator, you can expect to serve as a bridge between academia and employers, ensuring mutual goals are met and learners gain practical, in-demand skills.

What are micro credentials?

Micro credentials are short, focused learning programs that certify an individual’s skills or knowledge in a specific area or subject. Unlike traditional degrees, micro credentials are often designed to be completed quickly and are highly targeted to meet industry demands. They can be earned through online courses, workshops, or training sessions, and are often recognized by employers as proof of specialized expertise. Micro credentials are ideal for professionals looking to upskill or reskill without committing to a full degree program.

What is the difference between Micro Credential vs Data Analyst?

AspectMicro CredentialData Analyst
Required CredentialsShort courses, certificates, or specialized trainingBachelor's degree in data science, statistics, or related field
Work EnvironmentOnline, flexible, project-basedOffice or remote, data-focused tasks
Employer & Industry UsageUsed for skill validation, quick upskillingFull-time role, data-driven industries
Search & Comparison IntentYesYes

Micro Credentials are short, targeted certifications for specific skills, often earned online, while Data Analysts typically hold a degree and perform comprehensive data analysis tasks in various industries. Micro Credentials can supplement a Data Analyst's skills but are not a substitute for the full role's qualifications.

More about Micro Credential jobs
What cities are hiring for Micro Credential jobs? Cities with the most Micro Credential job openings:
What states have the most Micro Credential jobs? States with the most job openings for Micro Credential jobs include:
What job categories do people searching Micro Credential jobs look for? The top searched job categories for Micro Credential jobs are:
Micro Credential jobs near you
Infographic showing various Micro Credential job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $55,596 per year, or $26.7 per hour.
Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Brandeis University

Waltham, MA • On-site

$25 - $30/hr

Part-time

Posted 9 days ago

Job description

Position: Micro-Credential Grader-AI Fundamentals for STEM Professionals
Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation
Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.
In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.
This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.
What You Will Do:
  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.
  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.
  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.
  • Maintain confidentiality and objectivity throughout the grading process

What You Bring:
  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.
  • Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.
  • Experience in academic assessment, workforce development, or digital learning preferred.
  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.
  • Strong attention to detail and ability to maintain consistency across diverse submissions.
  • Excellent written communication skills for delivering constructive, learner-focused feedback.
  • Comfortable working in asynchronous learning environments and using digital platforms.
  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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