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No Experience Machine Learning Data Annotation Jobs in Florida

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

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No Experience Machine Learning Data Annotation information

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Florida? The most popular types of Machine Learning Data Annotation jobs in Florida are:
What are popular job titles related to No Experience Machine Learning Data Annotation jobs in Florida? For No Experience Machine Learning Data Annotation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning Data Annotation jobs in Florida look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Florida are:
What cities in Florida are hiring for No Experience Machine Learning Data Annotation jobs? Cities in Florida with the most No Experience Machine Learning Data Annotation job openings:
No Experience Machine Learning Data Annotation jobs near you
Infographic showing various No Experience Machine Learning Data Annotation job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Machine Learning Researcher - PhD Intern (US)

Citadel Securities

Miami, FL • On-site

$4.5K - $5.8K/wk

Other

Posted 9 days ago

Job description

Job Description

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning and AI algorithms to modernize the quantitative trading industry. We're looking for extraordinary and highly motivated researchers who are excited about solving challenging problems and iterating in a fast-paced environment.

As an intern, you'll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

Your Objectives

  • Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
  • Implement algorithms in high-quality code
  • Work with large data sets, including unconventional and unstructured data sources
  • Back-test models and document research findings

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
  • Hands on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++)
  • A background demonstrating strong problem-solving skills
  • An ability to communicate advanced concepts in a concise and logical way
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel Securities, please share your details and we will contact you if there is a vacancy available.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .

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