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Live In Image Annotation Jobs in Indiana (NOW HIRING)

Bureau Veritas

$26 - $28/hr

It is everyone's responsibility to live out our Values and Absolutes by Shaping a World of Trust ... Beads-in-Emulsion) for snRNA-seq library preparation Perform image analysis using HALO Maintain ...

Bureau Veritas

Biologist II

Indianapolis, IN · On-site

$26 - $28/hr

It is everyone's responsibility to live out our Values and Absolutes by Shaping a World of Trust ... Beads-in-Emulsion) for snRNA-seq library preparation • Perform image analysis using HALO • ...

Perdue Farms

Live Management Trainee

Thorntown, IN · On-site

We are actively seeking a hardworking, energetic, self-starter to join our Live Operations team in ... in a professional and courteous manner at all times upholding professional and positive work image ...

General Motors

Senior AI/ML Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

We operate in the intersection of software engineering , data engineering , and AI/ML , defining ... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ...

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Live In Image Annotation information

What is a Live In Image Annotation job?

A Live In Image Annotation job involves residing at a particular location or facility and performing the task of labeling or tagging objects, features, or data within digital images. This work is usually part of larger projects in fields like artificial intelligence, machine learning, or computer vision, where accurately annotated images are crucial for training algorithms. The job may require familiarity with specialized software tools and a keen attention to detail. Annotators play a critical role in helping computers 'see' and understand images by providing clear and consistent labels. Often, these positions are found in research centers, data collection facilities, or companies specializing in AI development.

What are some of the common challenges faced by Live In Image Annotation professionals, and how can they be addressed?

Live In Image Annotation professionals often encounter challenges such as maintaining high accuracy while working with large volumes of data, meeting tight deadlines, and handling ambiguous images that require careful judgment. To address these challenges, it's important to stay organized, regularly communicate with team members and project managers, and utilize annotation tools efficiently. Ongoing training and feedback can also help improve both speed and precision, ensuring the quality of annotated data meets industry standards.

What is the difference between Live In Image Annotation vs Image Labeling Specialist?

AspectLive In Image AnnotationImage Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOn-site or remote, often in a dedicated workspaceRemote or on-site, flexible environment
Industry UsageAI training, autonomous vehicles, surveillanceData annotation for machine learning, AI models
Job FocusReal-time annotation, often involving live video or imagesBatch annotation, static images

Live In Image Annotation involves real-time, often on-site annotation of images or videos, suitable for applications like autonomous driving or surveillance. In contrast, Image Labeling Specialists typically perform batch annotation of static images for training AI models, often remotely. Both roles require attention to detail and basic technical skills but differ mainly in real-time versus batch work and work environment.

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

To thrive as a Live In Image Annotation Specialist, you need strong attention to detail, proficiency in visual analysis, and a basic understanding of data labeling processes, typically supported by a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes basic coding knowledge, is often required. Excellent communication, time management, and adaptability are key soft skills for collaborating and meeting project deadlines. These competencies ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.
What are popular job titles related to Live In Image Annotation jobs in Indiana? For Live In Image Annotation jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Live In Image Annotation jobs in Indiana look for? The top searched job categories for Live In Image Annotation jobs in Indiana are:
What cities in Indiana are hiring for Live In Image Annotation jobs? Cities in Indiana with the most Live In Image Annotation job openings:
Live In Image Annotation jobs near you

Biologist II

Bureau Veritas

$26 - $28/hr

Other

Posted 28 days ago

Bureau Veritas rating

8.1

Company rating: 8.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

33rd of 103 rated laboratories

Job description

Overview:
Business Title: Research Biologist II
Position Title: Analyst II
Division: Consumer Products Services 
Entity: ATL
Location: Indianapolis, IN
Reports to: Manager
FLSA: Non-Exempt
Hours Worked: Typically, Monday through Friday, forty-hours per week. However, must be flexible to meet the needs of the department and complete other projects as assigned.

Position Summary:
The Research Biologist II (Analyst II) is responsible for supporting and increasing team's capacity on transcriptomic and/or histological analysis for team's therapeutic investigation and investigative biology of neurodegeneration. This position will be part of a multidisciplinary team dedicated to discovering novel medicines for the treatment of Alzheimer's disease, Parkinson's disease, ALS, and other related neurodegenerative conditions.  

Duties and Responsibilities:
It is everyone's responsibility to live out our Values and Absolutes by Shaping a World of Trust while ensuring responsible progress.
   Perform single-nucleus isolation from frozen tissue samples using optimized nuclei extraction protocols
   Operate the 10x Genomics Chromium X to generate single-nucleus GEMs (Gel Beads-in-Emulsion) for snRNA-seq library preparation
   Perform image analysis using HALO
   Maintain supplies, lab cleanliness and analytical instrumentation, as required. 
   Prepare stock solutions, and keeping shelves and reagent stocked.  
   Prepare written technical reports. 
   Perform basic data analysis as assigned.
   Assist with training.
   Comply with clients and Bureau Veritas Consumer Products Services, Inc management systems in accordance with appropriate regulatory agencies. 
   Follows the guidelines set forth by clients and the Bureau Veritas Consumer Products Services, Inc Quality Manual and Safety / Chemical Hygiene Plan. 
   Adhere to the requirements of the BV-CPS Quality System. 
   Other duties as defined by Manager, department needs and workload. 

Skills & Proficiencies:
   Hands-on experience with the 10x Genomics Chromium platform and associated library prep chemistries
   Hands-on experience in image analysis with (e.g. ImageJ, QuPath, HALO) is preferred but not required
   Strong quantitative mindset and data science skills is a plus (e.g. R, Python).
   Written and verbal communication skills including the ability to communicate effectively in a group setting, with colleagues and clients 
   Organizational and time management skills 
   Ability to perform multiple tasks 
   Ability to organize and prioritize workload to meet or exceed deadlines 
   Individual and Team work ethic 
   Proficiency with Windows, Word & Excel 
   Attention to detail 
   Positive attitude, self-motivated, high level of engagement 
   Champions company values including team engagement 
   Ability to present both facts and recommendations effectively 
   Technical problem solving and process improvement skills 

Education and Experience:
   Master's or Bachelor's in Biology, Molecular Biology, Neuroscience, or closely related field
   Minimum of one (1) year of experience with biochemical techniques and mammalian cell culture.

An equivalent combination of education and experience may be accepted in lieu of above.

Compensation Range: $26.00-$28.00 per hour  (e.g., the job posting is not necessarily reflective of actual compensation that may be earned, and actual compensation is subject to variation due to such factors as location, education, experience, and skillset).

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