ZipRecruiter

Log In

2

No Experience Image Annotation Jobs in Puerto Rico

Infotech Sourcing

Linguist III

PR · Remote

Write and revise guidelines for human annotation and other AI projects, including but not limited ... or data scientists Experience contributing to research papers Important: Preferably no known ...

next page

Showing results 1-20

All JobsImage Annotation JobsNo Experience Image Annotation JobsNo Experience Image Annotation Jobs in Puerto Rico

No Experience Image Annotation information

What are the key skills and qualifications needed to thrive in the No Experience Image Annotation position, and why are they important?

To thrive as a No Experience Image Annotation professional, attention to detail, basic computer skills, and the ability to follow guidelines precisely are essential. Familiarity with annotation software or image-labeling platforms is helpful, though most positions provide training and do not require formal certifications. Strong communication, patience, and time management skills help individuals excel in meeting project deadlines and collaborating with remote teams. These abilities ensure high-quality, accurate annotations that are crucial for developing reliable AI and machine learning datasets.

What is a No Experience Image Annotation job?

A No Experience Image Annotation job involves labeling, tagging, or categorizing images to help train AI models, often for machine learning and computer vision applications. These roles typically do not require prior experience, as companies provide guidelines on how to annotate images correctly. The tasks may include drawing bounding boxes, identifying objects, or adding descriptive labels. It is usually a remote or freelance role, making it accessible to beginners looking to enter the AI and data annotation field.

What are typical daily tasks for a No Experience Image Annotation role?

In a No Experience Image Annotation role, your daily responsibilities typically include labeling images or objects within images according to specific project instructions, reviewing annotated work for accuracy, and occasionally participating in quality checks. You may also provide feedback on annotation challenges or unclear guidelines to your supervisors or team leads. Much of the work is independent and computer-based, though some projects involve collaboration through online communication tools. As you gain experience, you may have opportunities for more complex annotation tasks or to move into quality assurance or project coordination roles. Overall, the role is well-suited for detail-oriented individuals comfortable working independently on repetitive but crucial tasks.

What job categories do people searching No Experience Image Annotation jobs in Puerto Rico look for? The top searched job categories for No Experience Image Annotation jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for No Experience Image Annotation jobs? Cities in Puerto Rico with the most No Experience Image Annotation job openings:
No Experience Image Annotation jobs near you
Linguist III

Linguist III

Infotech Sourcing

PR • Remote

Other

Posted 24 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)

Apply