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Remote Behavioral Science Research Jobs in Puerto Rico

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 ...

Senior Specialist, Quality Risk & Governance

Juncos, PR · On-site +1

$80K - $110K/yr

Remote will be considered if applicable. Quality Risk Management (60%) In this role, you will ... science to serve patients. Together, we compete in the fight against serious disease. Amgen is an ...

... remote work. Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 125 years. We embrace research and science -- bringing innovative ideas ...

Remote Behavioral Science Research information

What is a Remote Behavioral Science Research job?

A Remote Behavioral Science Research job involves studying human behavior, decision-making, and psychological patterns using scientific methods while working from a remote location. Researchers in this field may design and conduct experiments, analyze data, and interpret findings to provide insights for businesses, healthcare, or policy-making. They often collaborate with interdisciplinary teams and use statistical tools or behavioral theories to understand and predict behavior. This role typically requires skills in research design, data analysis, and strong communication abilities to present findings effectively.

What are the main responsibilities of a Remote Behavioral Science Researcher on a day-to-day basis?

Remote Behavioral Science Researchers typically design, conduct, and analyze behavioral experiments, review scientific literature, and summarize findings for teams or clients. Much of the daily work involves collecting and managing data, preparing reports, and collaborating with colleagues through virtual meetings and shared digital platforms. Researchers may also be responsible for developing surveys, conducting interviews, or contributing to the design of interventions. This role offers the flexibility of remote work but requires discipline in meeting deadlines and maintaining clear communication across the team.

What are the key skills and qualifications needed to thrive in the Remote Behavioral Science Research position, and why are they important?

To thrive in Remote Behavioral Science Research, you generally need a background in psychology or a related field, experience with scientific research methods, and strong analytical skills. Familiarity with statistical software (such as SPSS, R, or Python), online survey platforms, and data visualization tools is commonly required. Effective communication, self-motivation, and strong time management are essential soft skills, especially in a remote setting. These qualifications enable researchers to work independently, deliver insightful findings, and collaborate efficiently with distributed teams.

What are the most commonly searched types of Behavioral Science Research jobs in Puerto Rico? The most popular types of Behavioral Science Research jobs in Puerto Rico are:
What are popular job titles related to Remote Behavioral Science Research jobs in Puerto Rico? For Remote Behavioral Science Research jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Behavioral Science Research jobs in Puerto Rico look for? The top searched job categories for Remote Behavioral Science Research jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Remote Behavioral Science Research jobs? Cities in Puerto Rico with the most Remote Behavioral Science Research job openings:
Linguist III

Other

Posted 22 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)