Software developer Jobs in Midland, TX
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Software developer • midland tx
Remote C# Software Engineer - AI Trainer
SuperAnnotateMidland, Texas, USSoftware Engineer, Design Software (Starship)
SpaceXStarbase, TXPLC Programmer / SCADA Developer
PLCs Plus International IncMidland, TX, US- Promoted
Remote Side Hustle Developer
Finance BuzzMidland, Texas, USSoftware Engineer, Platform - Midland, USA
SpeechifyMidland, Texas, United StatesRemote Software Engineering Expert - AI Trainer ($50-$150 per hour)
MercorMidland, Texas, USStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseTexas, United StatesSoftware Developer
VirtualVocationsMidland, Texas, United StatesSenior Associate
ISN Software CorporationMidland, TX, USRemote C# Software Engineer - AI Trainer
SuperAnnotateMidland, Texas, US- Full-time
- Remote
This is an hourly-paid, fully remote contractor role where you will review AI-generated responses and / or generate C# / .NET engineering content, evaluating reasoning quality and step-by-step problem-solving. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical claims; and rate / compare multiple responses based on correctness and reasoning quality. You will also produce high-quality explanations and model solutions that demonstrate correct methods and clear communication. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs—your work directly helps improve the world’s premier AI models.
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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