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Remote Research Scientist Entomology Jobs in Puerto Rico

Infotech Sourcing

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... Communicate results of linguistic analyses to engineers and research scientists. Skills: Must have ...

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Remote Research Scientist Entomology information

What does a remote research scientist entomology do?

A Remote Research Scientist in Entomology studies insects and their interactions with the environment, agriculture, and humans, all while working from a remote location. Their responsibilities include designing experiments, collecting and analyzing data, writing scientific papers, and collaborating with other researchers through digital platforms. They may also use specialized software, remote sensing, and virtual meetings to conduct and share their research. This role requires strong analytical skills, attention to detail, and the ability to work independently while staying connected with the scientific community.

What are the key skills and qualifications needed to thrive as a remote research scientist entomology?

To thrive as a Remote Research Scientist in Entomology, you need a strong background in biological sciences, entomology-specific research experience, and typically a master's or Ph.D. in entomology or a related field. Familiarity with statistical analysis software, molecular biology tools, and remote data collection platforms is commonly required. Strong analytical thinking, written communication, and self-motivation are vital soft skills for excelling in remote and independent research settings. These competencies ensure rigorous scientific work, effective remote collaboration, and impactful contributions to understanding insect biology and ecosystem health.

How do remote research scientists entomology typically collaborate with field teams and colleagues despite working off-site?

Remote Research Scientists in Entomology often collaborate closely with field teams and other researchers through regular virtual meetings, shared data platforms, and coordinated project management tools. They may analyze samples or data provided by on-site colleagues, contribute to study design, and participate in discussions to interpret results. Effective communication and clear documentation are crucial to ensure that everyone stays aligned, and many organizations facilitate collaboration through cloud-based software, video conferences, and scheduled updates. This structure allows remote scientists to stay engaged with the broader research objectives while maintaining flexibility in their work location.

What are the most commonly searched types of Research Scientist Entomology jobs in Puerto Rico?

The most popular types of Research Scientist Entomology jobs in Puerto Rico are:

What are popular job titles related to Remote Research Scientist Entomology jobs in Puerto Rico?

For Remote Research Scientist Entomology jobs in Puerto Rico, the most frequently searched job titles are:

What cities in Puerto Rico are hiring for Remote Research Scientist Entomology jobs?

Cities in Puerto Rico with the most Remote Research Scientist Entomology job openings:

Remote Research Scientist Entomology jobs near you

Linguist III

Infotech Sourcing

PR • Remote

Full-time

Re-posted 4 days ago

Job description

Job Title: Infrastructure Engineering - Linguist III
Location: US - NY - Remote
Duration:8 months
Job Title: Linguist lII (FAIR)
Main duties:
Perform linguistic analyses on large datasets.
Perform linguistic error analysis of AI model outputs, determining what the most frequent and severe error categories are.
Write and revise guidelines for human annotation and other AI projects, including but not limited to translation tasks.
Conduct typological and sociolinguistic research on a large number of languages, highlighting their similarities and differences.
Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings.
Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings.
Compare the quality of deliveries between vendors, identify error patterns, and provide actionable feedback.
Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.).
Reach out to and collaborate with native speakers in various languages.
Communicate results of linguistic analyses to engineers and research scientists.
Skills:
Must have strong written and spoken communication skills, especially business and research communication.
Must be a native speaker of a non-English language (preferably Hindi) with a high level of proficiency in another Indo-Aryan or South Dravidian language, plus broad knowledge of other languages in either of those two groups.
Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued.
Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus.
Must be able to independently work through complex requests and perform under pressure.
Strong ability to work independently, prioritize, plan, and track work, as well as report progress
education or training in the basics of project management is a plus
self-motivation is a must
Working knowledge of international language-classification standards is valued.
Education:
Graduate degree in Linguistics or related field is a must; PhD is a plus
a background or specialization in corpus linguistics is a plus
experience with field work is a plus
a graduate degree in Literature or English is not an appropriate substitution
degree in Computer Science with a specialization in NLP is not an appropriate substitution
Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, phonology.
Must have some experience with applying basic Natural Language Processing techniques.
Experience
Years of experience: 0-3
Experience working cross-functionally
Experience collaborating with machine learning, NLP, or software engineers, or data scientists
Experience contributing to research papers
Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as FAIR Linguists need to be contributing to research papers)

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