GeniusXLab Logo

GeniusXLab

AI Trainer

Posted 2 Days Ago
Remote or Hybrid
Hiring Remotely in United States
60K-70K Annually
Entry level
Remote or Hybrid
Hiring Remotely in United States
60K-70K Annually
Entry level
Evaluate and annotate AI-generated responses, write prompts and expected outputs, provide structured feedback, maintain high-quality training datasets, and collaborate with engineers to improve LLM performance and evaluation workflows.
The summary above was generated by AI

## Who we are

GeniusXLab LLC is an IT services and IT consulting company. We help clients build intelligent software, AI-powered applications, and modern digital solutions. Our expertise spans Generative AI, Large Language Models (LLMs), automation, and enterprise software development. As AI continues to evolve, we're expanding our team with professionals who can help improve AI systems through high-quality data, evaluation, and human feedback.

## Who you are

GeniusXLab is looking for a detail-oriented and analytical AI Trainer who is passionate about improving the quality, accuracy, and reliability of AI models. You enjoy solving problems, evaluating AI-generated content, and helping shape the next generation of intelligent systems. You communicate clearly, think critically, and are committed to delivering high-quality work.

## About the role

 As an AI Trainer, you'll work with our AI engineering team to train, evaluate, and improve AI models through human feedback and data annotation. You'll review AI-generated responses, identify areas for improvement, create high-quality prompts, and help ensure our AI solutions produce accurate, safe, and helpful results. Your work will directly influence the performance of AI products used by clients across multiple industries.

Strong written and spoken English is essential, as you'll work closely with cross-functional teams and contribute to improving AI communication quality.

## We look for people who are

 **Analytical:** Able to evaluate information objectively and identify patterns.

**Detail-Oriented:** Maintain high accuracy while working with large volumes of data.

**Curious:** Interested in AI technologies and continuously learning new concepts.

**Collaborative:** Work effectively with engineers, researchers, and product teams.

## Responsibilities

### AI Training & Evaluation

* Review and evaluate AI-generated responses for quality, relevance, factual accuracy, and safety.
* Write clear prompts and expected responses to improve AI model performance.
* Provide structured feedback that helps refine AI behavior.
* Identify inconsistencies, hallucinations, and areas where model performance can be improved.

### Data Quality

* Annotate, classify, and label datasets according to project guidelines.
* Validate training data to ensure accuracy and consistency.
* Help maintain high-quality datasets for AI model development.
* Document findings and communicate recurring issues to engineering teams.

### Collaboration

* Work closely with AI engineers, data scientists, and product teams.
* Participate in calibration sessions to maintain annotation consistency.
* Contribute ideas for improving training workflows and evaluation standards.

### Continuous Improvement

* Stay informed about advancements in Generative AI and Large Language Models.
* Learn new annotation methodologies and evaluation techniques.
* Help improve internal documentation, guidelines, and best practices.

## Required Qualifications

* Bachelor's degree or equivalent experience in Computer Science, Linguistics, English, Data Science, AI, or a related field.
* Excellent written and verbal English communication skills.
* Strong analytical thinking and problem-solving abilities.
* Exceptional attention to detail and organizational skills.
* Ability to follow detailed guidelines while maintaining consistent quality.
* Comfortable working with spreadsheets, documentation tools, and online annotation platforms.
* Self-motivated, dependable, and able to manage multiple tasks independently.

## Nice to Have

 * Experience with AI data annotation, prompt engineering, or AI evaluation.
* Familiarity with Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, or similar AI tools.
* Basic understanding of machine learning, natural language processing (NLP), or Generative AI concepts.
* Experience using SQL, Python, or scripting for data analysis.
* Experience working in Agile or cross-functional product teams.

## Why Join GeniusXLab?

* Work on cutting-edge AI and Generative AI projects.
* Collaborate with experienced AI engineers and researchers.
* Help shape the future of intelligent software used by global clients.
* Flexible, collaborative, and innovation-driven work environment.
* Opportunities for continuous learning, professional growth, and career advancement.

Similar Jobs

2 Hours Ago
Easy Apply
Remote
United States
Easy Apply
31-35 Hourly
Mid level
31-35 Hourly
Mid level
Healthtech • Software
Perform evidence-based utilization management reviews, prepare compliant member and provider correspondence, consult with Medical Directors, document clinical determinations, ensure NCQA/CMS regulatory compliance, meet productivity and turnaround targets, support verbal notifications, and drive process improvements.
Top Skills: Google SuitemacOSZoom
2 Hours Ago
Easy Apply
Remote
United States
Easy Apply
260K-280K Annually
Senior level
260K-280K Annually
Senior level
Healthtech • Software
Provide evidence-based medical utilization reviews for orthopedic spine cases, document decisions in Cohere workflows, conduct peer-to-peer provider discussions, meet turnaround and quality standards, and support clinical and operational improvement projects.
2 Hours Ago
Easy Apply
Remote
United States
Easy Apply
110K-125K Annually
Senior level
110K-125K Annually
Senior level
Healthtech • Software
The Compliance Reporting Program Manager will coordinate compliance and regulatory reporting initiatives, manage workflows, and drive cross-functional collaboration for accurate and timely reporting.
Top Skills: SQLTableau

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account