E-3 Visa Graduate Jobs
Graduate roles in the U.S. are a natural fit for E-3 visa sponsorship: the visa requires a bachelor's degree in a field relevant to the position, has no lottery, and renews every two years. Australian graduates can target entry-level roles across engineering, business, tech, and sciences with a faster, more predictable path to a U.S. work visa than most nationalities.
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Get Access To All JobsJOB NO:
539700
WORK TYPE:
Student Ast
LOCATION:
Main Campus (Gainesville, FL)
CATEGORIES:
Biology/Life Science, Libraries/Museums, Artificial Intelligence
DEPARTMENT:
55010900 - LB-ACADEMIC RESEARCH CONS-SERV
CLASSIFICATION TITLE:
Graduate Internship: Human-in-the-Loop Named Entity Recognition for Biological Data Curation
CLASSIFICATION MINIMUM REQUIREMENTS:
Currently enrolled in good standing in a UF graduate program.
JOB DESCRIPTION:
The George A. Smathers Libraries is offering a graduate internship supervised by Dr. Borui Zhang in collaboration with Dr. Jonathan Nations (Florida Museum of Natural History). The project focuses on building an open-access, machine-readable database of mammalian dietary information extracted from decades of unstructured scientific literature. It integrates text data mining, NLP pipeline engineering, and biodiversity science. The graduate intern will construct and validate ground-truth datasets for an AI-driven data extraction pipeline supporting this effort. This internship is funded through the Smathers Graduate Internship Program.
Responsibilities
The intern will:
- Use authorized APIs to identify and retrieve relevant mammalian dietary literature, with emphasis on Mammalian Species Accounts.
- Apply the project’s NER (Named Entity Recognition) pipeline to extract consumer (mammal species) and food class entities from full-text publications.
- Systematically validate AI-generated annotations using professional annotation tools, building a rigorously reviewed ground-truth reference dataset.
- Meet with the Internship Director and faculty partner weekly to resolve ambiguous cases and refine prompt strategies.
- Assist in organizing and cleaning metadata fields, standardizing ecological data for integration into the project’s GitHub repository.
- Prepare technical documentation summarizing inter-annotator agreement metrics, common extraction error patterns, and recommendations for prompt and pipeline refinement.
- Deliver a final presentation to UF Libraries and Florida Museum research teams summarizing methods, findings, and lessons learned.
SCHEDULE
10 hours a week.
EXPECTED SALARY:
$22 /hour
REQUIRED QUALIFICATIONS:
- Currently enrolled in good standing in a UF graduate program in Computer Science, Computational Linguistics, Information Science, Data Science, Biology/Ecology, or a closely related field.
- Proficiency in Python for data processing, file I/O, JSON and XML parsing, pandas-style tabular manipulation, and basic scripting against REST APIs (e.g., NCBI Entrez) for literature retrieval.
- Experience with at least one NLP task: sequence labeling, entity recognition, text classification, or annotation of linguistic phenomena in real, noisy text.
- Demonstrated ability to work independently on sustained research tasks with attention to detail and consistent documentation habits.
- Comfort reasoning about linguistic ambiguity: you should be able to explain why a given span of text is or is not a valid entity mention and articulate the decision rule you applied.
PREFERRED:
- Background or coursework in biology, ecology, or environmental sciences.
- Prior experience with text annotation platform (e.g., Label Studio, Prodigy, INCEpTION, or similar platforms).
- Familiarity with biomedical or biodiversity literature retrieval (PubMed/Entrez API, GBIF, BHL, iDigBio) or other large-scale scholarly text corpora.
- Experience working with version control systems or structured research data repositories, comfort with JSON schema validation.
- Exposure to transformer-based models (BERT, BioBERT, or similar): fine-tuning, inference, or attention analysis.
SPECIAL INSTRUCTIONS TO APPLICANTS:
In order to be considered, you must upload:
- A current CV or résumé.
- A brief statement (300–500 words) describing: a. your experience with Python b. any prior computational annotation work in real data; and c. why the intersection of NLP and biodiversity informatics interests you.
- Contact information for one academic or professional reference.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
HEALTH ASSESSMENT REQUIRED: No
ADVERTISED:
27 Apr 2026 Eastern Daylight Time
APPLICATIONS CLOSE:
11 May 2026 Eastern Daylight Time
JOB NO:
539700
WORK TYPE:
Student Ast
LOCATION:
Main Campus (Gainesville, FL)
CATEGORIES:
Biology/Life Science, Libraries/Museums, Artificial Intelligence
DEPARTMENT:
55010900 - LB-ACADEMIC RESEARCH CONS-SERV
CLASSIFICATION TITLE:
Graduate Internship: Human-in-the-Loop Named Entity Recognition for Biological Data Curation
CLASSIFICATION MINIMUM REQUIREMENTS:
Currently enrolled in good standing in a UF graduate program.
JOB DESCRIPTION:
The George A. Smathers Libraries is offering a graduate internship supervised by Dr. Borui Zhang in collaboration with Dr. Jonathan Nations (Florida Museum of Natural History). The project focuses on building an open-access, machine-readable database of mammalian dietary information extracted from decades of unstructured scientific literature. It integrates text data mining, NLP pipeline engineering, and biodiversity science. The graduate intern will construct and validate ground-truth datasets for an AI-driven data extraction pipeline supporting this effort. This internship is funded through the Smathers Graduate Internship Program.
Responsibilities
The intern will:
- Use authorized APIs to identify and retrieve relevant mammalian dietary literature, with emphasis on Mammalian Species Accounts.
- Apply the project’s NER (Named Entity Recognition) pipeline to extract consumer (mammal species) and food class entities from full-text publications.
- Systematically validate AI-generated annotations using professional annotation tools, building a rigorously reviewed ground-truth reference dataset.
- Meet with the Internship Director and faculty partner weekly to resolve ambiguous cases and refine prompt strategies.
- Assist in organizing and cleaning metadata fields, standardizing ecological data for integration into the project’s GitHub repository.
- Prepare technical documentation summarizing inter-annotator agreement metrics, common extraction error patterns, and recommendations for prompt and pipeline refinement.
- Deliver a final presentation to UF Libraries and Florida Museum research teams summarizing methods, findings, and lessons learned.
SCHEDULE
10 hours a week.
EXPECTED SALARY:
$22 /hour
REQUIRED QUALIFICATIONS:
- Currently enrolled in good standing in a UF graduate program in Computer Science, Computational Linguistics, Information Science, Data Science, Biology/Ecology, or a closely related field.
- Proficiency in Python for data processing, file I/O, JSON and XML parsing, pandas-style tabular manipulation, and basic scripting against REST APIs (e.g., NCBI Entrez) for literature retrieval.
- Experience with at least one NLP task: sequence labeling, entity recognition, text classification, or annotation of linguistic phenomena in real, noisy text.
- Demonstrated ability to work independently on sustained research tasks with attention to detail and consistent documentation habits.
- Comfort reasoning about linguistic ambiguity: you should be able to explain why a given span of text is or is not a valid entity mention and articulate the decision rule you applied.
PREFERRED:
- Background or coursework in biology, ecology, or environmental sciences.
- Prior experience with text annotation platform (e.g., Label Studio, Prodigy, INCEpTION, or similar platforms).
- Familiarity with biomedical or biodiversity literature retrieval (PubMed/Entrez API, GBIF, BHL, iDigBio) or other large-scale scholarly text corpora.
- Experience working with version control systems or structured research data repositories, comfort with JSON schema validation.
- Exposure to transformer-based models (BERT, BioBERT, or similar): fine-tuning, inference, or attention analysis.
SPECIAL INSTRUCTIONS TO APPLICANTS:
In order to be considered, you must upload:
- A current CV or résumé.
- A brief statement (300–500 words) describing: a. your experience with Python b. any prior computational annotation work in real data; and c. why the intersection of NLP and biodiversity informatics interests you.
- Contact information for one academic or professional reference.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
HEALTH ASSESSMENT REQUIRED: No
ADVERTISED:
27 Apr 2026 Eastern Daylight Time
APPLICATIONS CLOSE:
11 May 2026 Eastern Daylight Time
See all 148+ Graduate jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Graduate
Translate your Australian degree for U.S. employers
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes. Have your transcripts ready and be prepared to explain the equivalency if an HR team or immigration contact raises it.
Target employers who have filed LCAs before
An employer who has previously filed a Labor Condition Application with the DOL already understands the E-3 process. Search the DOL's public LCA disclosure data to identify companies with recent filings in graduate-level job titles relevant to your field.
Use Migrate Mate to find and file your E-3
Migrate Mate lists Graduate roles with E-3 sponsorship and, once you have an offer, Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, including the LCA filing and visa paperwork.
Get your LCA certified before scheduling your interview
The DOL must certify your employer's LCA before you can attend your consulate interview. Certification typically takes around seven business days, so confirm your employer has started this step immediately after you sign your offer letter.
Frame your degree field match in your resume and cover letter
The E-3 requires that your degree aligns with the specialty occupation. If you studied commerce but are applying for a financial analyst role, spell out that connection explicitly. Vague job descriptions or mismatched degree fields are a common reason for E-3 complications.
Clarify your E-3 timeline with your employer before day one
You can start working as soon as your E-3 visa is stamped at the consulate. Confirm with your employer whether your start date accounts for the consulate appointment wait time at Sydney, Melbourne, or Perth, which can range from days to several weeks.
Graduate jobs are hiring across the US. Find yours.
Find Graduate JobsGraduate E-3 Visa: Frequently Asked Questions
How do I find Graduate jobs in the U.S. that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. You can filter Graduate roles by E-3 sponsorship, location, and industry to find employers who are already open to hiring Australian nationals on an E-3. This removes the guesswork of cold-applying to companies that may not be familiar with the visa at all.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Do Graduate roles qualify as specialty occupations for the E-3 visa?
Graduate roles qualify when the position normally requires a bachelor's degree or higher in a specific field and your degree matches that field. Entry-level roles in engineering, finance, computer science, and similar disciplines typically meet this standard. Generalist roles or positions where any degree is accepted regardless of field are more likely to face scrutiny from the consular officer.
How does the E-3 compare to the H-1B for Australian graduates?
The E-3 has no annual lottery, so you can apply at any point once you have a job offer rather than waiting for a once-a-year registration window. It also has a dedicated 10,500 annual allocation that has never been exhausted. For Australian graduates, this makes the E-3 a significantly more reliable path than the H-1B, which has a roughly 25 percent selection rate in recent years.
Can I switch Graduate employers after starting on an E-3?
Yes, but the process starts fresh each time. Your new employer must file a new LCA with the DOL and you'll need to obtain a new E-3 visa stamp at an Australian consulate before beginning work for them. There's no portability mechanism like the one available under certain H-1B rules, so build the consulate appointment timeline into any job transition plan.
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