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Part Time Remote Transcript Evaluator Jobs in Pennsylvania

YO AI Labs

AI Consulting Expert - Remote

Philadelphia, PA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Conduct quality assurance and rubric-based evaluations of AI-generated outputs. * Annotate data ...

The Pennsylvania State University

$19 - $26/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... transcription, programming, database management, etc. These are part-time positions for no more ...

YO AI Labs

AI Finance Expert - Remote

Philadelphia, PA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... In this role, you will help improve next-generation AI systems by reviewing, evaluating, and ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... transcription reactions, and running PCR and qPCR assays. Full training will be provided for all ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Assisting with data collection, including translation/transcription * Applying and/or supporting ...

The Pennsylvania State University

$21/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... final evaluations of intern performance, and consultation with the internship instructor and ...

The Pennsylvania State University

$15/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... part-time undergraduate student to work on making digital content in Geoscience courses ADA ...

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Part Time Remote Transcript Evaluator information

What is the difference between Part Time Remote Transcript Evaluator vs Part Time Remote Language Interpreter?

AspectPart Time Remote Transcript Evaluator

The Part Time Remote Transcript Evaluator reviews and assesses academic transcripts to determine their equivalency for educational or employment purposes. They typically require a background in education, certifications in transcript evaluation, and work remotely in a flexible environment. The role focuses on document analysis rather than real-time communication.

In contrast, a Part Time Remote Language Interpreter facilitates real-time spoken communication between parties speaking different languages, often requiring language proficiency certifications and strong interpersonal skills. While both roles are remote and part-time, the Transcript Evaluator emphasizes document review, whereas the Interpreter involves live translation.

How to become a part time remote transcript evaluator?

To become a part-time remote transcript evaluator, typically you need a high school diploma or higher, strong attention to detail, and good reading comprehension skills. Many employers require prior experience in transcription, editing, or related fields, and proficiency with word processing tools. Applying through company websites or job boards and passing a skills assessment are common steps in the hiring process.

What is a part time remote transcript evaluator job?

A part time remote transcript evaluator reviews and assesses academic transcripts to verify educational credentials for organizations such as credential evaluation services. The role typically requires strong attention to detail, good reading comprehension, and familiarity with evaluation standards, often performed using online tools and conducted on a flexible schedule. It is suitable for individuals seeking remote work with minimal in-person requirements.

What are popular job titles related to Part Time Remote Transcript Evaluator jobs in Pennsylvania?

For Part Time Remote Transcript Evaluator jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Transcript Evaluator jobs in Pennsylvania look for?

The top searched job categories for Part Time Remote Transcript Evaluator jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Part Time Remote Transcript Evaluator jobs?

Cities in Pennsylvania with the most Part Time Remote Transcript Evaluator job openings:

Part Time Remote Transcript Evaluator jobs near you
Infographic showing various Part Time Remote Transcript Evaluator job openings in Pennsylvania as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 30% Part Time, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Part-Time Assistant Programmer

Penn State University

University Park, PA • On-site, Remote

$57/hr

Part-time

Re-posted 7 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

229th of 619 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Department of Computer Science and Engineering within the College of Engineering is seeking applicants for a part-time programmer.
The role: Help us build a focused, sharp system that turns peer-reviewed nutrition literature into transparent, evidence-based recommendations. You'll implement the Extract, Transform Load (ETL) pipeline from OpenAlex, fine-tune and wire up transformer models for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph.
What you'll do:
  • Stand up and own a PubMed or OpenAlex ETL that ingests open-access articles, normalizes metadata, and keeps our corpus fresh.
  • Use and/or fine tune transformer models (e.g., BERT variants) to extract semantic triples (like: (ingredient)-[biolink:ameliorates_condition]->(health condition)); build evaluation and error-analysis loops.
  • Implement a ranking layer that blends evidence strength (study design, sample size, effect size) with model confidence.
  • Build the recommendation/generative service that balances constraints (evidence score, compatibility, regulatory limits) and exposes a clean API.
  • Construct/maintain a knowledge graph that links every recommendation back to source papers (full provenance) and supports plain-language evidence summaries.
  • Collaborate tightly with PI and domain scientists; deliver milestones on a fast, 12-month pilot timeline.

Core stack we use (and you're comfortable with):
  • Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling (pandas, spaCy, Pydantic, Airflow/Prefect).
  • APIs/services: RESTful design, auth, pagination, retries, structured logging, unit/integration tests, CI.
  • Storage/search: Postgres + vector/embedding store; graph DB experience welcome.
  • DevOps basics: containers, reproducible envs, simple local deploys, secrets management.

Nice to have:
  • Deep NLP experience (relation extraction, weak supervision, prompt/adapter tuning).
  • Semantic KGs (RDF/OWL, Neo4j/graph tooling), ontology work, and/or the Biolink Model.
  • Experience with biomedical text corpora and literature mining.
  • You've shipped scrappy, reliable research-to-prod systems before.

What you bring:
  • 3+ years professional Python and ML/NLP engineering, or equivalent portfolio.
  • Strong engineering hygiene (tests, docs, code review) and product sense.
  • Clear, direct communication in a remote team.
  • Bonus: prior work at the intersection of ML + biosciences/clinical data.

Logistics & pay:
  • Fully remote (U.S.); office space available at Penn State for hybrid/in-person if preferred.
  • Part-time at $57/hour, 20 hours/week, 50 weeks. Continuation beyond 50 weeks depends on renewal/next-round funding.
  • Please submit a brief cover letter and resume/CV.
  • For more information on restrictions for part-time remote employment locations: Notice to Out of State Applicants

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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