We’re excited for you to be a part of our team

We are looking for hands-on Ubuntu desktop users to help refine multimodal datasets for AI training. This role involves replaying real computer tasks inside an Ubuntu environment, capturing accurate screenshots, and producing PyAutoGUI-style action annotations step-by-step.

This is not a coding or engineering role. It requires excellent computer usage skills, patience, and strong attention to detail.

Key Responsibilities

• Reconstruct GUI Task Trajectories. For each provided task:

• Interpret the task instruction and text-only trajectory (Observation / Thought / Action).

• Recreate the workflow inside an Ubuntu desktop environment. Also, update the thought and observation, likewise to your provided screenshot

• Create New Tasks and perform the task based on the given existing prompts and annotate it with screenshots + action JSON in realistic Ubuntu desktop tasks (e.g., using VLC, LibreOffice, GIMP, browser tasks).

• Maintain Annotation Quality

Required Skills

• Linux / Ubuntu Usage (Mandatory)

• You must be comfortable using Ubuntu Desktop as your primary or secondary OS, including:

• File Manager

• Desktop navigation, window switching, and settings

• Understanding of basic file paths and user directories

Open-source Application Experience (Required). You should know how to perform common tasks in:

• Chrome, VLC Media Player, LibreOffice Writer / Calc / Impress, GIMP, Thunderbird, VS Code

Preferred Qualifications

• 1–3 years of experience in:

• IT helpdesk

• QA / manual software testing

• Linux desktop administration

• Data annotation projects involving UI tasks

• Familiarity with task recording or automation tools (optional)

What This Role Is Not

• Not a programming, research job, creative engineering or coding or high-level design work

• Not suitable for beginners who use only smartphones or Windows casually

This is a precision-driven, GUI-based desktop annotation job.

Perks of Freelancing With Us:

• Work in a fully remote environment.

• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: 40 hours per week with 4 hours of overlap with PST. 

• Engagement  type  : Contractor assignment (no medical/paid leave)

• Duration of contract : 2 month

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development, from research and large-scale model training to production deployment, while mentoring top engineers and collaborating closely with research and infrastructure leaders.  

You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that our AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact.

This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery.

Roles & Responsibilities

• Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals.
• Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
• Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics.
• Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
• Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML.
• Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards.
• Communicate progress, risks, and results to stakeholders and executives effectively.
• Overlap of 6 hours with PST time zone is mandatory.

Required Skills & Qualifications

• 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
• Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
• Hands-on experience in Docker for Production deployment. 
• Proven experience managing teams delivering ML/LLM models in production environments.
• Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure).
• Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines.
• Excellent leadership, communication, and cross-functional collaboration skills.
• Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).

Nice to Have 

• Experience building Agentic applications 
• Experience training or fine-tuning foundation models.
• Contributions to open-source ML or LLM frameworks.
• Understanding of Responsible AI, bias mitigation, and model interpretability.

Offer Details:

• Commitments Required: 8 hours per day with overlap of 6 hours with PST.
• Employment type : Contractor assignment (no medical/paid leave)
• Duration of contract : 3 months (extendable up to 6 months based on performance and project needs)
• Location : LatAM, Europe, USA, Canada, Mexico, Africa
• Timezone : US PST (at least 6 hours overlap required)
• Payout: $40-$60 per hour (10% TDS applicable for Indian nationals)
  

Evaluation Process:

• 60 min Technical Interview
• Take Home Assessment 
• 60 min technical & cultural discussion

Location & Employment type: Remote & Contractual

Salary: Up to INR 1,20,000 per month

Experience: 4+ YoE

Experience: 9+ years overall with 2+ years leading ML/LLM teams

Location: Remote

Type: Contractual

Location: Bengaluru
Experience Required: 7-12 Years

Location: 6 – 10 years

Location: Bengaluru

Location:  Remote & Contractual
Experience: 5+ YoE