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Data visualization Jobs in Mobile, AL
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Data visualization • mobile al
Remote Senior Data Scientist - AI Trainer
SuperAnnotateSaraland, Alabama, USSoftware Developer / Data Engineer Entry Level
CGIMobile, United StatesWork From Home - Data Entry – Product Support – Entry Level
GLSpanish Fort, AlabamaCustomer Service Representative
Only Data Entry ClerkPrichard, AL, United StatesData Analyst
UIC Technical ServicesMobile,AL,USA- New!
Remote Data Entry Specialist
FocusGroupPanelMobile, AL, United States- Promoted
Data Engineer, Telecom EDW Support
Consolidated CommunicationsMobile, AL, United States- Promoted
- New!
Remote Investment Analyst - AI Trainer ($50-$60 / hour)
Data AnnotationSaraland, AL, USData Entry Clerk -Contracts Department
K&R Staffing HR Consulting LLCMobile, AL, us- Promoted
- New!
Principal Data Scientist
MAXIMUSMobile, AL, United States- Promoted
Remote Research Assistant / Data Entry (Hiring Immediately)
Maxion ResearchPrichard, Alabama, US- Promoted
Work from Home Data Entry Clerk
GL Inc.Mobile, AlabamaDriver\Data Collector in Mobile, AL
TSMGMobile, AL, USHiring : Part-Time Data Entry Personnel (up to $3,000 / study)
MaxionMobile, AL, USData Scientist
Central HealthAirport Boulevard- Promoted
Data Entry Specialist (Dealer Services Representative)
MSHMobile, AL, US- Promoted
- New!
Data Visualization Specialist
VirtualVocationsMobile, Alabama, United StatesPrincipal Data Scientist
MaximusMobile, AL, US- Promoted
Data Entry Product Support - No Experience
GLOCPADaphne, Alabama- dermatology (from $ 50,000 to $ 350,000 year)
- hospital (from $ 24,960 to $ 274,000 year)
- clinical psychologist (from $ 92,805 to $ 200,000 year)
- runner (from $ 24,375 to $ 197,600 year)
- principal engineer (from $ 115,300 to $ 196,036 year)
- plumber helper (from $ 24,863 to $ 195,000 year)
- construction manager (from $ 80,000 to $ 190,500 year)
- data engineer (from $ 97,500 to $ 190,000 year)
- full stack developer (from $ 120,000 to $ 190,000 year)
- house sitter (from $ 39,000 to $ 166,400 year)
- Santa Clara, CA (from $ 98,000 to $ 200,000 year)
- Chicago, IL (from $ 99,238 to $ 192,500 year)
- Sunnyvale, CA (from $ 71,175 to $ 187,500 year)
- Seattle, WA (from $ 90,000 to $ 179,375 year)
- San Jose, CA (from $ 92,500 to $ 175,475 year)
- San Mateo, CA (from $ 92,500 to $ 175,350 year)
- San Francisco, CA (from $ 90,063 to $ 175,000 year)
- Phoenix, AZ (from $ 101,350 to $ 173,740 year)
- Daly City, CA (from $ 79,450 to $ 171,500 year)
- New York, NY (from $ 80,916 to $ 165,675 year)
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
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Remote Senior Data Scientist - AI Trainer
SuperAnnotateSaraland, Alabama, US- Full-time
- Remote
As a Senior Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, as well as generate high-quality reference solutions and explanations for complex data problems. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology, modeling choices, or statistical reasoning; fact-check quantitative claims; write clear, step-by-step explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality.
This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your data science expertise will directly contribute to improving the world’s premier AI models used across products and industries.
Key Responsibilities :
- Develop AI Training Content : Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance : Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity : Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
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