2

Remote Ai Prompt Writer Jobs in Puerto Rico (NOW HIRING)

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... Write and revise guidelines for human annotation and other AI projects, including but not limited ...

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

Epic Denials Management Operator

San Juan, PR · Remote

$17.75 - $23.50/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Showing results 21-26

Remote Ai Prompt Writer information

What is a remote AI prompt writer?

A Remote AI Prompt Writer is a professional who creates and refines text prompts for artificial intelligence models, such as chatbots or generative AI systems, while working from a remote location. Their primary role is to design effective instructions or queries that guide AI systems to generate desired outputs, whether for creative writing, customer support, data analysis, or other applications. This job combines skills in communication, critical thinking, and a strong understanding of how AI models interpret language. Remote AI Prompt Writers often collaborate with AI developers and content teams to ensure high-quality, accurate, and ethical AI responses.

What are the key skills and qualifications needed to thrive as a remote AI prompt writer?

To thrive as a Remote AI Prompt Writer, you need excellent written communication, creative thinking, and a strong understanding of AI language models, often supported by experience in writing, linguistics, or related fields. Familiarity with prompt engineering tools, AI platforms like OpenAI’s GPT, and basic data annotation systems is typically required. Attention to detail, adaptability, and the ability to collaborate virtually are valuable soft skills for this role. These competencies ensure the creation of effective prompts that drive accurate AI outputs and support seamless teamwork in a remote environment.

How does a remote AI prompt writer typically collaborate with data scientists and engineers during a project?

As a Remote AI Prompt Writer, you often work closely with data scientists and engineers to develop, test, and refine prompts that drive optimal AI model responses. Collaboration usually involves regular virtual meetings, shared documentation, and iterative feedback cycles to ensure prompts meet project goals and technical requirements. You'll provide linguistic expertise while team members may offer insights into model behavior and data limitations, making strong communication and adaptability essential for success in this role.

What are popular job titles related to Remote Ai Prompt Writer jobs in Puerto Rico?

For Remote Ai Prompt Writer jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Remote Ai Prompt Writer jobs in Puerto Rico look for?

The top searched job categories for Remote Ai Prompt Writer jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Remote Ai Prompt Writer jobs?

Cities in Puerto Rico with the most Remote Ai Prompt Writer job openings:

Infographic showing various Remote Ai Prompt Writer job openings in Puerto Rico as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Full-time

Re-posted 5 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)