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Open nowPosted 90 days ago

Artificial Intelligence Training Consultant

CVPeople Tanzania232 open roles

Where
Dar es Salaam, Tanzania
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Your applicationOpen nowArtificial Intelligence Training ConsultantCVPeople Tanzania · Dar es Salaam, Tanzania
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on CVPeople Tanzania's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 90 days ago

The posting

Responsibilities • Design and deliver AI curriculum covering machine learning fundamentals, natural language processing (NLP), computer vision, IoT, generative AI, and prompt engineering • Deliver content on AI ethics, responsible AI development, open-source AI, data feminism, and environmental impact of generative AI • Adapt all content to reflect Tanzanian and East African contexts, using local and open-source datasets • Facilitate hybrid in-person and online training sessions, averaging 11 hours per week over 23 weeks • Guide participants through AI-focused capstone projects in collaboration with local industry partners • Engage with industry partners on curriculum alignment and internship placement opportunities • Organize onsite excursions to at least two AI ecosystem actors in Tanzania • Contribute to open educational resources and course materials hosted on digital learning platforms Requirements Knowledge and Experience • University degree in computer science, machine learning, artificial intelligence, computer engineering, or a related field • Minimum 5 years of experience in AI or data science training • Minimum 3 years of experience specifically designing AI training for women or marginalized communities • Demonstrated knowledge of AI ethics and responsible AI frameworks • Experience with learning management systems such as Moodle or atingi • Strong facilitation, presentation, and interpersonal skills • Experience working with industry partners and academic institutions in ICT training design and delivery • Minimum 3 years of experience in projects in Sub-Saharan Africa, of which 2 years in Tanzania • Fluent in English and Swahili

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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on CVPeople Tanzania's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    CVPeople Tanzania's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  5. Reply with AI

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

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