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About Company: Our client is a Palo Altobased AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud, /"enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deploymentpowered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta. Job Description: Job Title: AI Trainer Technical & Scientific Sales Reps Location: Pan India Experience: 3+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Roles & Responsibilities: Role Overview: Role Overview We are seeking Technical & Scientific Sales Experts to generate, evaluate, and refine tasks related to technical sales engineering and scientific solutions for frontier AI initiatives. In this role, experts will build technically accurate, practical tasks that test AI model capabilities in technical discovery, solution-fit assessment, product positioning, and complex technical communication. Requirements - Professional Experience: ~38 years of hands-on experience in technical sales, sales engineering, scientific sales, or solutions architecture. Technical Background: Educational or professional background in a relevant STEM field (e.g., engineering, biotechnology, chemistry, software, or clinical sciences).Core Competencies: Proven experience leading technical discovery calls, evaluating customer requirements, mapping solution architecture, handling technical objections, and creating value propositions.Deliverable History: Proven track record of producing professional sales artifacts such as discovery briefs, technical proposals, solution architectures, product comparison matrices, and demo plans.Exceptional Analytical Thinking: Ability to interpret complex technical specifications, identify customer pain points, and assess the feasibility of technical solutions.Attention to Detail: Strong ability to review task scenarios and technical inputs to ensure practical realism and scientific/technical accuracy.Communication: Excellent written communication skills for writing realistic buyer-seller scenarios, technical prompts, and structured rubrics.Independence: Self-motivated and able to work independently, incorporate calibration feedback, and iterate under senior review. Responsibilities In this role, you will be part of a specialized functional pod responsible for creating high-quality training and evaluation data for AI models. Your day-to-day responsibilities will include: Producing expert-level tasks and gold-standard solutions in technical and scientific sales that meet the pod's quality bar.Authoring realistic task scenarios involving technical discovery, customer requirements mapping, solution-fit evaluations, RFP responses, and technical objection handling.Applying rubric standards and grading frameworks set by the Functional SME (Expert) Lead.Working under senior review to incorporate calibration feedback, refine outputs, and iterate on task designs.Verifying that all created tasks, technical specs, and scenarios are accurate, realistic, and solvable using provided technical documentation.Ensuring consistent alignment with project guidelines, quality benchmarks, and milestone deadlines. Education & Experience - Bachelor's degree or equivalent practical experience in any field. Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.