1

Freelance Machine Learning Data Annotation Jobs in Missouri

Machine Learning Engineer Opportunity SynergisticIT understands the complex nature of the job ... Knowledge of Statistics, Python, and data visualization tools * Excellent written and verbal ...

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and ...

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and ...

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and ...

Leveraging expertise in predictive analytics, machine learning, data strategy, and visualization, the team transforms complex data into actionable insights. Collaboration and innovation drive our ...

Leveraging expertise in predictive analytics, machine learning, data strategy, and visualization, the team transforms complex data into actionable insights. Collaboration and innovation drive our ...

Leveraging expertise in predictive analytics, machine learning, data strategy, and visualization, the team transforms complex data into actionable insights. Collaboration and innovation drive our ...

LRS Consulting is seeking a Senior Machine Learning Engineer to design, build, and scale production ... Transform data science prototypes into production-ready solutions using appropriate ML and GenAI ...

Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate ... Experience in machine learning, supervised and unsupervised and deep learning. * Experience in ...

next page

Showing results 1-20

Freelance Machine Learning Data Annotation information

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Data Annotation specialist, and why are they important?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.
What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Missouri? For Freelance Machine Learning Data Annotation jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Missouri with the most Freelance Machine Learning Data Annotation job openings:
Machine Learning Engineer

Machine Learning Engineer

SynergisticIT

Rolla, MO • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer Opportunity

SynergisticIT understands the complex nature of the job market and how difficult it can be to secure a position, especially for fresh graduates. Therefore, we assist and help tech-savvies to convert their passions into professions. We go above and beyond to keep you working in your niche.

As we focus on long-term success, we provide complete career development solutions. From job search to upskilling portfolio and interview preparation, we can guide you at every step of your career.

SynergisticIT spares no efforts to connect you with a large network of tech giants, including Google, Apple, PayPal, Dell, Cisco, Client, etc. Presently, we are actively looking for a Machine Learning Engineer with a driven mindset. Get the right opportunity and gain experience in building web-centric solutions on Java.

Who Should Apply: Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry We also assist in filing for STEM extension and H1b and Green card filing. Candidates who are serious about their future in the IT Industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill Enhancement Programs if the candidates are missing skills or experience which our clients need with great outcomes Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement Candidates who Lack Experience Have had a break in careers Lack Technical Competency candidates who want to get employed and make a career in the Tech Industry

REQUIRED SKILLS

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in the programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, and data visualization tools
  • Excellent written and verbal communication skills
  • Preferred skills: NLP, Text mining, Tableau, Time series analysis

Technical skills are required by clients for selection even if it's a Junior or entry-level position each additional Technical skill helps a candidate's resume to be picked by clients over other job seekers.

Clients hire candidates with the right technical skills they need and reject candidates who lack the required technical skills. No third-party candidates or c2c candidates

Please apply to the posting