Linguist III
PR · Remote
US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... Compare the quality of deliveries between vendors, identify error patterns, and provide actionable ...
Linguist III
PR · Remote
US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... Compare the quality of deliveries between vendors, identify error patterns, and provide actionable ...
This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Meticulous attention to detail and quality of work product * Ability to build and sustain ...
This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Meticulous attention to detail and quality of work product * Ability to build and sustain ...
... quality. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. If you are ...
... quality. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. If you are ...
... quality. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. If you are ...
... quality. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. If you are ...
Epic Denials Management Operator
San Juan, PR · Remote
$17.75 - $23.50/hr
This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Meticulous attention to detail and quality of work product * Ability to build and sustain ...
Epic Denials Management Operator
San Juan, PR · Remote
$17.75 - $23.50/hr
This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Meticulous attention to detail and quality of work product * Ability to build and sustain ...
Remote Software Qa information
What is a remote software QA?
A Remote Software QA (Quality Assurance) job involves testing software applications to identify and report bugs, ensuring they meet quality standards before release. QA professionals work from a remote location to execute test cases, automate testing processes, and collaborate with developers to resolve issues. They use various testing tools and methodologies to evaluate functionality, performance, security, and usability. Remote QA jobs require strong analytical skills, attention to detail, and effective communication to work with distributed teams.
What are the key skills and qualifications needed to thrive in the remote software QA position, and why are they important?
To thrive as a Remote Software QA, you need a solid grasp of software testing methodologies, attention to detail, and experience with quality assurance processes, often supported by a degree in computer science or a related field. Familiarity with test automation tools (like Selenium or Cypress), bug tracking systems (such as JIRA), and certifications like ISTQB can be highly beneficial. Excellent written communication, self-motivation, and strong collaboration skills are crucial for working effectively in a distributed team environment. These competencies ensure accurate defect identification, efficient workflow, and effective coordination, all of which are vital for delivering high-quality software in a remote setting.
What are some common challenges faced by remote software QA professionals, and how can they overcome them?
Remote Software QA professionals often face challenges such as communicating effectively with geographically dispersed teams and ensuring alignment on testing standards or project requirements. Staying organized and proactive through regular virtual meetings, detailed documentation, and clear status updates can help bridge communication gaps. Additionally, adapting to new tools for remote collaboration and test automation is key. Embracing a self-driven approach and seeking continuous feedback from colleagues can enhance both productivity and integration with development teams.
What are popular job titles related to Remote Software Qa jobs in Puerto Rico?
For Remote Software Qa jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Software Qa jobs in Puerto Rico look for?
The top searched job categories for Remote Software Qa jobs in Puerto Rico are:
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