Research Assistant for Vision-Language Models -- 2
Budget: $250 – $750 USD
Project Details
$250.00 – 750.00 USD
I'm seeking a research assistant to support my work on lightweight vision-language models and vision-language action models. The role involves a variety of tasks essential to the research process (mainly 2 stages).
Key Requirements:
- Assist with data collection and preprocessing to ensure high-quality datasets.
- Support model development and training, focusing on lightweight and efficient models.
- Conduct literature reviews and analysis to stay updated with the latest research trends.
- Help with manuscript preparation, ensuring clarity and coherence in research papers.
- Contribute to MVP (Minimum Viable Product) development, translating research into practical applications.
Ideal Skills and Experience:
- Strong background in machine learning, particularly in vision-language models.
- Experience with data preprocessing and model training.
- Experience in producing and publishing research papers, along with strong skills in academic research and manuscript preparation..
- Ability to analyze and synthesize literature effectively.
- Proficiency in programming languages and tools commonly used in machine learning research.
If you have a passion for cutting-edge research and a keen interest in vision-language technologies, I would love to hear from you.
Stage 1: Lightweight Generalist Vision-Language Models
Focus on algorithmically formulating or designing architectural VLM models for specific domains, then evaluating, adapting, and fine-tuning small-scale/generalist VLMs for multi-modal tasks.
Target low-resource deployment and edge-based inference (in an AI server that has GPUs).
Perform performance vs. efficiency benchmarking and fine-tuning experiments.
Prepare a high-quality research manuscript for submission.
Stage 2: Vision-Language Action Models (VLAMs)
Extend or integrate the Stage 1 model with action-oriented tasks such as VLM-based agents, instruction-following, or embodied AI.
Evaluate VLA performance in controlled environments (in the AI server that has GPUs).
Implement and deliver a web-based MVP prototype that demonstrates real-time interaction or task execution.
Contribute to a second research manuscript focusing on the system’s architecture, methodology, and results.
Project Duration: up to 4 months
$250.00 – 750.00 USD
I'm seeking a research assistant to support my work on lightweight vision-language models and vision-language action models. The role involves a variety of tasks essential to the research process (mainly 2 stages).
Key Requirements:
- Assist with data collection and preprocessing to ensure high-quality datasets.
- Support model development and training, focusing on lightweight and efficient models.
- Conduct literature reviews and analysis to stay updated with the latest research trends.
- Help with manuscript preparation, ensuring clarity and coherence in research papers.
- Contribute to MVP (Minimum Viable Product) development, translating research into practical applications.
Ideal Skills and Experience:
- Strong background in machine learning, particularly in vision-language models.
- Experience with data preprocessing and model training.
- Experience in producing and publishing research papers, along with strong skills in academic research and manuscript preparation..
- Ability to analyze and synthesize literature effectively.
- Proficiency in programming languages and tools commonly used in machine learning research.
If you have a passion for cutting-edge research and a keen interest in vision-language technologies, I would love to hear from you.
Stage 1: Lightweight Generalist Vision-Language Models
Focus on algorithmically formulating or designing architectural VLM models for specific domains, then evaluating, adapting, and fine-tuning small-scale/generalist VLMs for multi-modal tasks.
Target low-resource deployment and edge-based inference (in an AI server that has GPUs).
Perform performance vs. efficiency benchmarking and fine-tuning experiments.
Prepare a high-quality research manuscript for submission.
Stage 2: Vision-Language Action Models (VLAMs)
Extend or integrate the Stage 1 model with action-oriented tasks such as VLM-based agents, instruction-following, or embodied AI.
Evaluate VLA performance in controlled environments (in the AI server that has GPUs).
Implement and deliver a web-based MVP prototype that demonstrates real-time interaction or task execution.
Contribute to a second research manuscript focusing on the system’s architecture, methodology, and results.
Project Duration: up to 4 months