Linguist III
PR · Remote
Infrastructure Engineering - Linguist III Location: US - NY - Remote Duration:8 months Job Title ... Must be able to code in Python (must) and query databases using SQL, other coding languages used ...
Linguist III
PR · Remote
Infrastructure Engineering - Linguist III Location: US - NY - Remote Duration:8 months Job Title ... Must be able to code in Python (must) and query databases using SQL, other coding languages used ...
Remote Python Developer Apprenticeship information
What are the key skills and qualifications needed to thrive as a Remote Python Developer Apprentice, and why are they important?
To thrive as a Remote Python Developer Apprentice, you need a solid understanding of Python programming, basic knowledge of software development principles, and a relevant educational background or bootcamp experience. Familiarity with version control (such as Git), code editors (like VS Code), and issue tracking systems (e.g., Jira) is typically required. Strong problem-solving ability, self-motivation, and effective remote communication skills help apprentices stand out. These skills and qualities are vital for successfully learning, collaborating, and contributing in a distributed, fast-paced development environment.
What are some common challenges faced by remote Python developer apprentices and how can they be overcome?
Remote Python developer apprentices often encounter challenges such as limited face-to-face mentorship, managing time effectively, and staying motivated without in-person supervision. To overcome these, it's important to proactively communicate with mentors and peers through regular virtual meetings and collaborative platforms. Setting clear daily or weekly goals, maintaining a structured routine, and participating in online coding communities can also help apprentices stay engaged and on track with their learning and project responsibilities.
What is a Remote Python Developer Apprenticeship?
A Remote Python Developer Apprenticeship is a structured training program where aspiring Python developers work remotely while learning on the job. Apprentices typically gain hands-on experience by working on real-world projects under the guidance of experienced mentors. The apprenticeship is designed to help individuals develop their coding skills, understand software development workflows, and prepare for full-time developer roles. This pathway is ideal for those who want to learn Python development while enjoying the flexibility of remote work.
What is the difference between Remote Python Developer Apprenticeship vs Remote Python Developer?
| Aspect | Remote Python Developer Apprenticeship | Remote Python Developer |
|---|---|---|
| Credentials | Typically requires basic programming knowledge, some may need a degree or coding bootcamp completion | Requires proficiency in Python, often with a degree or relevant experience |
| Work Environment | Structured training program, mentorship, entry-level tasks | Full responsibility for projects, more autonomous work |
| Industry Usage | Used by companies to train new talent, often in tech, startups, and educational programs | Employed directly by companies or clients to develop software solutions |
The Remote Python Developer Apprenticeship is an entry-level training program designed to build foundational skills under mentorship, while a Remote Python Developer is a more experienced role responsible for developing and maintaining Python applications independently.
What are popular job titles related to Remote Python Developer Apprenticeship jobs in Puerto Rico? For Remote Python Developer Apprenticeship jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Python Developer Apprenticeship jobs in Puerto Rico look for? The top searched job categories for Remote Python Developer Apprenticeship jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Remote Python Developer Apprenticeship jobs? Cities in Puerto Rico with the most Remote Python Developer Apprenticeship job openings:
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)
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)
About Infotech Sourcing
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
San Francisco, CA, US
Year founded
2004