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Day Image Annotation Jobs in Florida (NOW HIRING)

Orlando Health has benefits that start on day 1 including: • Health/Dental/Vision/HSA/FSA/Life ... Assesses diagnostic images for technical quality, proper annotation, and patient identification ...

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Day Image Annotation information

What is day image annotation?

Day image annotation is the process of labeling or tagging objects, regions, or attributes in images taken during daylight conditions. This annotated data is often used to train computer vision models, such as those used in autonomous vehicles or surveillance systems, to recognize and interpret visual information. Annotators may identify and mark features such as pedestrians, vehicles, road signs, and other elements visible in daytime imagery. The accuracy and quality of these annotations are crucial for developing reliable AI systems. Day image annotation can be performed manually or with the assistance of annotation tools.

What is the difference between Day Image Annotation vs Day Data Labeling?

AspectDay Image AnnotationDay Data Labeling
Primary FocusAnnotating images for machine learning modelsLabeling data, including images, for training AI systems
Work EnvironmentRemote or on-site, involving detailed image workSimilar, often remote, involving data categorization
Required SkillsAttention to detail, familiarity with annotation toolsAttention to detail, understanding of data structures
Industry UsageAutonomous vehicles, healthcare, retailAutonomous vehicles, healthcare, retail

Both Day Image Annotation and Day Data Labeling involve preparing data for AI models, but image annotation specifically focuses on marking objects within images, while data labeling can include various data types. They share similar skills and work environments, often overlapping in industries like autonomous vehicles and healthcare.

What are some common challenges faced by Day Image Annotation specialists, and how can they overcome them?

Day Image Annotation specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of images and dealing with ambiguous or low-quality visual data. To overcome these challenges, it is important to follow clear annotation guidelines, communicate regularly with team members or project managers for clarifications, and utilize annotation tools efficiently. Many teams also conduct peer reviews to ensure consistency and quality across datasets, which helps specialists learn and improve their skills over time.

What are the key skills and qualifications needed to thrive as a Day Image Annotation Specialist, and why are they important?

To thrive as a Day Image Annotation Specialist, you need strong attention to detail, visual acuity, and a basic understanding of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation software tools such as Labelbox, CVAT, or Supervisely is typically required. Strong organizational skills, patience, and the ability to work independently make someone stand out in this position. These skills ensure high-quality, accurate annotations that are essential for effective machine learning model training and data integrity.
What are the most commonly searched types of Image Annotation jobs in Florida? The most popular types of Image Annotation jobs in Florida are:
What are popular job titles related to Day Image Annotation jobs in Florida? For Day Image Annotation jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Day Image Annotation jobs? Cities in Florida with the most Day Image Annotation job openings:
Spanish Data Annotator Specialist (Based in NY)

Spanish Data Annotator Specialist (Based in NY)

Welo Data

Jacksonville, FL

$28/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

OVERVIEW

We are seeking a QA Analyst - Data Annotation Specialist to contribute to a high-profile technology project. The ideal candidate will have a foundational understanding of quality assurance, data annotation, and data handling. Additionally, they must be fully proficient in English (U.S.) and Spanish (Spain) and possess excellent communication skills. They will play a pivotal role in ensuring the quality and accuracy of the project data.

Project Details

Job Title: QA Analyst - Data Annotation Specialist

Location: On-site at one of our offices office in South Bay, CA (Menlo Park or Sunnyvale)

Hours: 40 hours weekly

Language: Spanish (Spain)

Start date: Mid-January 2025

Employment Type: W-2 Contract

Duration: At least 12 months (with potential for extension)

Pay rate: $28/Hour

Must have valid work authorization in the US (We do not sponsor VISAs at this time)

Responsibilities

    • Conduct data annotation and QA
    • Collaborate with team members on-site
    • Ensure secure handling of data and maintain confidentiality

Requirements

    • Proficiency in English (US) and Spanish (Spain) at a fully fluent level is required.
    • At least 1-2 years of data annotation experience
    • Visual annotation experience is a plus (Video & Image)
    • Experience in quality assurance
    • Excellent communication skills
    • Augmented Reality experience is a plus
    • No technical skills needed, but a linguistic background and/or formal QA experience is required
    • Ability to work 100% on-site
    • Strong attention to detail and problem-solving skills

Benefits

    • Paid Sick Time
    • Employee Assistance Program  
    • Following eligibility requirements: Medical Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Voluntary Life Insurance
    • Accident, Critical Illness, Hospital Indemnity Insurance
    • 401(k) Retirement Plan

$28 - $28 an hour

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.