Company Summary

Company Reviews

Gushwork builds complex AI marketing agents to help small and medium businesses get inbound leads from AI search engines like Gemini, ChatGPT, Claude and Perplexity

Rating Reviews

Rating is calculated based on 3 reviews and is evolving.

Featured Reviews

AI Data Trainer
3.4
9 February 2026
Decent Pay for a Remote AI Startup Role
Pros: The pay is okay for an early-stage AI startup, especially for remote AI Data Trainer roles based in India. You do get paid on time, which is always good. The WFH setup really helps save on commute costs, which is a plus for your wallet.
Cons: Compensation isn't top-tier, even for the local market here. Don't expect big tech salaries or extensive benefits; it's a startup, so benefits are pretty basic. There's not much room for salary negotiation once you're onboarded.
Advice to Management: Consider reviewing the salary bands, especially for experienced AI Data Trainers. Offering more competitive benefits, even simple ones, would really help with employee retention in this competitive machine learning industry.
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Growth Associate
3.0
15 December 2025
Tough for career growth in this startup
Pros: It's a fully remote setup, which is super convenient. You get to work with some really smart people on the team. Plus, there's a good chance to learn about lead generation and sales enablement if you're new to the industry.
Cons: Career growth here feels pretty stagnant for Growth Associate roles. There aren't many clear paths to move up, and promotions are rare. It's a typical fast-paced startup environment, but opportunities to expand skills beyond daily tasks are limited.
Advice to Management: Establish clearer career paths and offer more training for employees in core operational roles. Investing in skill development would really help people feel like there's a future here.
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Data Annotator
3.0
27 January 2026
WFH is good, but hours can be tough
Pros: I really liked the remote work flexibility, especially being able to work from India. It's a huge plus not having to commute, which saved me a lot of time daily for my data labeling tasks.
Cons: The work-life balance for Data Annotator roles can be tricky. You're often expected to be available for longer hours, especially nearing project deadlines. Sometimes, the workload feels really inconsistent, making it hard to plan personal time.
Advice to Management: Try to better manage workload distribution and set clearer expectations for daily hours in data processing roles. It would really help with employee burnout and improve overall work-life balance.
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