Poll: What is the biggest barrier to a long-term career in AI data training? विषय पोस्ट करनेवाला व्यक्ति: ProZ.com Staff
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This forum topic is for the discussion of the poll question "What is the biggest barrier to a long-term career in AI data training?".
This poll was originally submitted by Ana Moirano. View the poll results »
| | | | Thayenga 
जर्मनी
Local time: 13:26
सदस्य (2009)
अंग्रेजी से जर्मन
+ ...
My non-existent desire to have one. SIGH YAWN
[Edited at 2026-10-18 10:17 GMT]
| | | | | | | Let's turn that around... | 11:08 |
The Poll asks:
"What is the biggest barrier to a long-term career in AI data training?".
Alternative poll question:
"Would you agree that AI data training is becoming the biggest barrier to a long-term career in almost anything (except, perhaps, crime and war-mongering)"?
JL
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Hipyan Nopri
इंडोनीशिया
Local time: 18:26
अंग्रेजी से इंडोनीशियाई
+ ...
| Professional Suicide | 11:14 |
I voted for “Inconsistent project volume and pay rates,” as I believe it is the root cause of the other barriers.
Based on accounts from colleagues and translator communities, AI data training projects often end without notice, task availability fluctuates, and rates vary widely across vendors. Without a stable income, a long-term career is hardly possible. The lack of growth paths and the underappreciation of linguistic expertise largely stem from this short-term, low-paid mode... See more I voted for “Inconsistent project volume and pay rates,” as I believe it is the root cause of the other barriers.
Based on accounts from colleagues and translator communities, AI data training projects often end without notice, task availability fluctuates, and rates vary widely across vendors. Without a stable income, a long-term career is hardly possible. The lack of growth paths and the underappreciation of linguistic expertise largely stem from this short-term, low-paid model, while unclear qualification standards are mainly a barrier to entry.
For translators, accepting such work would, in my view, amount to professional suicide: we would be lending our expertise, often at modest rates, to systems designed to reduce the demand for our services.
That is why I focus on translation, editing, and MTPE/AIPE, where expertise is better recognized. I respect colleagues who choose otherwise, but greater transparency on project continuity and rates would benefit everyone. ▲ Collapse
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