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IT & Systems Turing

Technical Project Manager (AI)

Turing • Remote, Bangladesh, Brazil, Colombia, Egypt, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, Vietnam

Education

Not stated

Type

Hourly

Pay

$30-65/hr est.

Turing does not post a rate for this role. This is our estimate for similar roles in Bangladesh. How we estimate

Last checked

4d ago

Checked

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About this role

From the Turing listing

Technical Project Manager  (AI)YEO - 10-15 yrsLocation - Mumbai, Bangalore

Key Responsibilities

  • Lead planning and execution of AI/ML and Generative AI projects (LLMs, RAG, NLP, etc.) from ideation to deployment
  • Collaborate with data scientists, ML engineers, product teams, and business stakeholders to define scope, timelines, and deliverables
  • Manage project lifecycle including requirements gathering, sprint planning, execution, monitoring, and delivery
  • Drive Agile/Scrum practices, ensuring timely and high-quality delivery
  • Translate business requirements into technical execution plans for AI solutions
  • Identify risks, dependencies, and bottlenecks; proactively mitigate issues
  • Track KPIs, project progress, and communicate status to leadership
  • Ensure model deployment, scalability, and production readiness in collaboration with engineering teams
  • Facilitate cross-functional alignment and stakeholder communication
  • Manage vendors/partners where applicable

Required Skills & Qualifications

  • 10+ years of experience in technical project/program management
  • Proven experience managing AI/ML Generative AI projects
  • Strong understanding of: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) NLP, prompt engineering, and model evaluation
  • Familiarity with ML lifecycle (data prep, training, evaluation, deployment)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Hands-on experience with Agile/Scrum methodologies and tools (Jira, Confluence, etc.)
  • Basic proficiency in Python or ability to understand/read AI/ML codebases
  • Strong communication and stakeholder management skills
  • Ability to bridge technical teams and business stakeholders

Preferred Qualifications

  • Experience with frameworks/tools like LangChain, LlamaIndex, OpenAI, Hugging Face
  • Understanding of MLOps and model deployment pipelines
  • Exposure to vector databases (Pinecone, FAISS, Weaviate, etc.)
  • PMP / Scrum certification is a plus
  • Prior experience in enterprise AI transformations or digital programs

Key Competencies

  • Strong problem-solving and analytical thinking
  • Ownership mindset with ability to drive projects independently
  • Excellent communication and leadership skills
  • Ability to manage ambiguity in fast-evolving AI environments

Requirements

  • Must be eligible to work in one of: Bangladesh, Brazil, Colombia, and more
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in IT & Systems

How long hiring takes

On the platforms we refer people to, half of hires came within about 25 days of applying. Time from applying to hire:

Under 2 weeks
~30%
2 weeks to 6 weeks
~40%
6 weeks to 3 months
~15%
Over 3 months
~15%

Project Manager interview prep

Questions Project Manager interviewers often ask. They aren't taken from this listing.

How do you build a risk register for a new project, and how do you decide which risks are worth actively managing versus just monitoring?

I score each identified risk on likelihood and impact, and I focus active mitigation effort on the ones that score high on both, since spreading equal attention across every possible risk dilutes focus from the ones that actually threaten the project. Lower-scoring risks stay on the register and get monitored, but they don't consume active planning time unless their likelihood or impact changes.

How do you allocate limited resources across competing project priorities when you can't fully staff everything at once?

I prioritize based on which work is on the critical path versus which has schedule slack, since delaying critical path work delays the whole project while slack work has more flexibility. I also make the tradeoff visible to stakeholders rather than making the call silently, since resource allocation decisions often have implications beyond what I alone can see.

What's your approach to identifying dependencies between workstreams early enough to avoid them becoming a bottleneck later?

I map dependencies explicitly during planning, not just track tasks in isolation, and I flag any dependency where the downstream team's start date is close to the upstream team's committed finish date, since that's where a small delay upstream cascades into a schedule risk downstream. Building in buffer specifically around tight dependencies, rather than uniformly across the whole schedule, protects the areas actually at risk.

How do you decide when a project's scope needs to change versus when the original plan just needs better execution?

I look at whether the gap between plan and reality traces back to a flawed original assumption, which suggests scope needs revisiting, or to execution issues like unclear ownership or slow decision-making, which suggests the plan itself is still sound. Changing scope to compensate for an execution problem usually just creates a new set of issues rather than fixing the real one.

See all 10 Project Manager interview questions →

Why this role

This Technical Project Manager (AI) position asks for solid IT & Systems knowledge. The AI training workflow itself gets taught on the job.

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Common questions

How and when does Turing pay contractors?

Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.

Do I need to be a software engineer to work for Turing?

No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.

What does task-based AI training work look like?

Short, hands-on tasks such as recording videos, sorting images, rating AI answers or checking data. Most take 5 to 60 minutes each.

Can I choose my own hours?

Usually, yes. You log in when you want, pick up a task, finish it and submit it, with no meetings. Other people work from the same pool of tasks, so some days there may be no work until more is added.

What does IT & Systems work look like for a Technical Project Manager (AI)?

You check AI answers to IT & Systems questions, correct their errors and write expert reasoning. As a Technical Project Manager (AI), you're hired for that judgment, so hands-on IT & Systems experience matters.

How much does this specific role pay?

The listing doesn't state a rate. The $30-65/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform before committing time.

What happens when I click Apply on this listing?

Apply opens Turing's site, where you create an account and follow its sign-up steps.

Can I apply from outside Bangladesh, Brazil, Colombia and 8 other countries?

This role is open only to people based in Bangladesh, Brazil, Colombia, Egypt, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, and Vietnam. The limit is usually about where the platform can legally hire, so applying from elsewhere rarely leads to an offer. Check the description for tax or right-to-work rules before you apply, since they can differ by country.